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23 Incredible Web Apps Built by Exceptional Female Engineers

ianuring Hackbright Academy’s immersive and rigorous 12-week software engineering fellowship, students built impressive web apps in just 4 weeks! Get ready to be inspired by these amazing women and their creations ranging from trip planning to ride sharing apps that showcase their unique personalities.


Ada Cohort


Angela Lui

GitHub | LinkedIn

After graduation, Angela worked through various client-facing positions, but her passion has always been working behind the scenes, especially technological problem-solving. Her ‘a-ha!’ moment happened when she discovered how simple coding in VBA could make tedious tasks, like repetitive reporting, so much easier. Since then, Angela has dabbled in computer science classes and most recently worked in Human Resources Consulting for tech companies. She is excited to continue learning the craft of coding for a career in software engineering.

Hackbright Project: Clever Closets

Users use Clever Closets to organize and keep track of their clothing. The closet groups items by category for easy visualization. Each article of clothing will have multiple keywords that the user links to for various occasions that it can be worn for. Aside from organization, users can also generate random outfits based on the activity they are looking to attend. Once the outfit has been generated, it can be saved as a past outfit, or even a favorite outfit.

Technology Stack:

Python, AJAX, JSON, jQuery, JavaScript, SQLAlchemy, PostgreSQL, Flask, Jinja, Bootstrap.

APIs Used:

OpenWeatherMap API


Boya Fang

GitHub | LinkedIn LinkedIn 

Boya graduated from college with a degree in biology and then spent time working in biotech. She was involved in DNA sequencing services and streamlined protocols for commercial sequencing prep kits. After becoming interested in the software involved with data analysis and collection, she started learning coding on the side and quickly became interested in problem solving on a different platform. She is excited about building her skills as a full-stack software engineer after Hackbright and becoming involved with the tech community. In her spare time, Boya can be found exploring local parks with her dog and contemplating the spontaneous appearances of sand.

Hackbright Project: TsuNotMe

If a Tsunami hit San Francisco, where should you go? My app finds an escape route for natural disasters using parameters other than a predetermined destination. Using inputs such as a start location, a time limit and the elevation needed to escape, it queries a database faith preloaded end locations in a radiating distance from the start location to end your escape path.

Technology Stack:

Python (GDAL, NumPy), JavaScript (jQuery, Ajax), HTML

APIs Used:

Google Maps (elevation, geocoding, directions)


Camille St. Martin

GitHub

Camille is currently a fellow at Hackbright Academy. Before Hackbright she earned her bachelor’s degree in Computer Science and worked as a team lead and cosmetic merchandiser. At Revlon Cosmetics she was responsible for building relationships with managers in the stores she was assigned and representing the Revlon brand. During her time at Revlon, she continued coding and her self study in Java. After working at Revlon for 3 years, she decided to get back to what she loves learning and doing, which is computer science and working with technology, so she decided to attend Hackbright. She looks forward to shifting her career path into tech as it has always been one of her passions and something she strived to work towards.

Hackbright Project: The Hoppy Home Brewer

The Hoppy Home Brewer is an app that allows home brewers new to the hobby to learn more about the craft, from more information about different beer styles down to what ingredients go into them and how they work with beer. The app allows each user to log and keep track of projects that they are currently working on as well as allowing users to play a random beer game to help with brain storming for new projects.

Technology Stack:

Python, SQLAlchemy, Bootstrap, JavaScript

APIs Used:

BreweryDB


Carrie Li

GitHub | LinkedIn 

Carrie ventured into finance after obtaining a B.S. in Management Science from the University of California, San Diego. She worked as an Analyst at the investment consulting firm Milliman and then in the institutional group at Allianz Global Investors, where she worked with international clients on multiple technology-themed funds. While Carrie enjoyed following the tech industry from a financial perspective, she became more interested in how tech companies were creating products and ecosystems. She started learning how to code via online courses and she is now very excited to transition her career to software engineering. If she’s not in front of her computer, Carrie enjoys reading, volunteering, and social dance.

Hackbright Project: SkillInsights

SkillInsights is intended for career changers or career explorers, or simply those who are curious about other professions. This web app allows users to explore careers and search for job titles that are most related to a particular skill, as well as the recommended skill set associated with the queried profession. Users can see the demand for jobs in these fields from the last two years plotted on Google Maps.

Technology Stack:

Python, Flask, Elasticsearch, SQLAlchemy, PostgreSQL, JavaScript, jQuery/AJAX, Jinja, HTML/CSS, Bootstrap

APIs Used:

Skills API, Google Maps API


Christina Gin

GitHub | LinkedIn 

Christina graduated from UC Davis with a B.S. in Environmental Policy. After graduating, she worked as an IT Support Specialist for several years at a software company in San Francisco. While she enjoyed the problem-solving aspect of her role, she wanted more creativity and the ability to build new projects. After talking to software engineers and trying out online coding classes, she decided that her next step would be to learn to code at Hackbright Academy. Christina is excited to use her experience of fast-paced problem-solving and logic toward software development.

While not coding, Christina enjoys yoga, swimming, and traveling.

Hackbright Project: Pocket Passport

Pocket Passport is an app where users can browse photos to find and plan travel destinations. After searching a location, users can select categories such as food, tourist attractions, and night life to find things to do. Users can save these images to their profile and click the photo to see information such as the nearest Yelp business rating, link, and Googlemaps directions to the place.

Technology Stack:

Python, Flask, Jinja, JavaScript, jQuery, SQL, SQLAlchemy, Bootstrap, Masonry

APIs Used:

Flickr, Yelp, GoogleMaps


Diana Mazuera

GitHub | LinkedIn 

With degrees in Marketing and Latino Studies, Diana’s journey began supporting P&G’s Hispanic Ad campaigns, followed by Google as an ad specialist in 2012. She’s been at Google ever since, stepping away from sales and into the tech sector as an AdSense data analyst in 2015. Under Google’s “Trust & Safety” dpt., Diana’s work includes citing ad abuse trends, while also creating and enforcing global ad policies to improve ad serving quality across Google’s Ad Platforms. Having specialized on Mobile apps (AdMob), she has most recently worked closely supporting AdMob engineers, sparking an interest in UX engineering. Post Hackbright, Diana hopes to use her sales savvy and wide range of technical experience to explore new areas in tech as an SWE!

Hackbright Project: AdCollab – Airbnb for Ad Space

AdCollab is the Airbnb for ad space – enabling building owners to post available exterior wall space to local businesses looking to advertise at affordable prices – say $500/month to rent a back wall facing the Caltrain! Users can search for listings in their area by zipcode, with option to alter further by price and ad size dimensions available. Best of all, users can preview how their uploaded ads will appear on the listing’s ad space prior to making a selection! While AdCollab ad’s helps bring small businesses more foot traffic, the profits from local ad rentals can also help business owners in underrepresented communities keep their businesses up and help stall the steady trend towards gentrification.

Technology Stack:

Python, Flask, Jinja, PostgreSQL, SQLAlchemy, Javascript (Ajax, JSON), JQuery, HTML, CSS, Bootstrap

APIs Used:

Yelp Fusion, Google Maps, SendGrid


Elizabeth Bland

GitHub | LinkedIn

Elizabeth previously was a journeyman plumber involved in commercial construction in Little Rock Arkansas. In 2009, she broke her back which directed her to pursue her hobby and love of web development and animation into a career. Her diverse industry experience and strategic sourcing abilities have put her at the advantage in full stack web development with superior relational expertise to intuitively account for multiple departmental needs. She enjoys researching and implementing different “Big Data” innovations which has become an everyday hobby. To relax, she likes to go fishing, and help out whenever the occasion may arise.

Hackbright Project: ECRM Business Management System

The ECRM is a Customer Relationship Management system for coordinating job quotes, staff and invoicing. The system provides a custom interface for three types of users: admins, staff and customers. When the user logs in they see the information pertaining to their permissions. The system shows information on users, jobs and products by list as well as detail views for individual records. It also provides an interface for creating, updating and deleting jobs, products and invoices.

Technology Stack:

Python, SQLAlchemy, Jinja, JavaScript, HTML/CSS,


Emily Le

GitHub | LinkedIn

Emily was an accounting professional who left no stone unturned to ensure smooth compliance and nancial operations. Her passion in tech grew when her curiosity helped her finance team save hours of copying and pasting during their month-end sprints. She confirmed her love for programming the day she got her hands dirty with HTML/CSS during an office hackathon. Independent learning launched into evening classes and eventually enrollment at Hackbright. She loves working on the back- end, being able to build projects, and seeing them develop and can’t wait for a full-stack engineering role at a company that fosters innovation, learning and growth. She’s excited to take these experiences with her towards her endeavor as a Software Engineer.

Hackbright Project: Meet Halfway

When we spend time with our friends and family, we don’t really care what we’re doing as long as we’re hanging out with the people we love. Meet Halfway saves you the trouble of choosing what to do when you just want to spend time with someone. When you want to hang out with a friend, Meet Halfway takes your locations, and using Yelp and Google APIs, provides points of interest that are within reasonable distance to both of you. You’ll save time, trouble, and even gas, all while getting closer to your friends.

Technology Stack:

Flask, Python, Jinja, Javascript, jQuery, AJAX, HTML, CSS, Bootstrap, PostgreSQL, SQLAlchemy

APIs Used:

Google Maps, Yelp


Erin Ariel Young

GitHub | LinkedIn

Ariel was an English major, but quickly fell into IT jobs after earning her B.A. because there were problems that needed to be solved and she was curious and wanted to fix things. A passion for continuous on-the-job learning led her further into tech, and she held various roles in the healthcare software industry including Support Engineer and QA Tester. Wanting to dig deeper into how things work and learn to design them better, she joined Hackbright. Ariel looks forward to continuing to learn and sharpen skills in her career as a software engineer after Hackbright. Her love of learning also extends into the realms of cooking new foods, reading challenging books with her book club, and practicing yoga.

Hackbright Project: Rendezvous

Rendezvous is an app which lets you invite friends to meet at a specific time and place. With helpful suggestions from Google Places Autocomplete, users choose a location for their rendezvous on a map which centers on their current location, pick a date and time, then choose friends to invite. When it’s time to leave to meet their friends, users log into Rendezvous and choose a Google Maps route. The route, ETA, and current location data for each person on the invitation is shared with the others visually on a Google Map, with the user’s location updated in real-time via geolocation inquiries to each user. No more texting while driving, “Stuck in traffic! 10min late!” because your friends will know where you are and your ETA.

Technology Stack:

PostgreSQL, SQLAlchemy, Python, Flask, Jinja, JavaScript, HTML, CSS, Bootstrap

APIs Used:

Google Maps API, Google Places API Web Service


Isabelle Miller

GitHub | LinkedIn

Having lived, studied, and worked in very different countries, Isabelle has found a need for higher social equity to be universal. Her deepest passion lies in the use of data-driven technologies to improve governance and policy-making, with a focus on improving integration of immigrants and equity of opportunity for women and minority groups through digital democracy technologies. Isabelle holds a B.A. in Linguistics and International Relations from Tulane University and a Master of Public Policy from the Hertie School of Governance in Berlin. Her other interests include linguistics, ceramics, cookies, and amateur acrobatics.

Hackbright Project: FriendKeeper

FriendKeeper is a relationship manager for those who care but often fail to take initiative when life gets in the way. This simple contact manager allows you to select friends and set contact periods on them according to which the app will automatically email them with inconspicuous-sounding “hey, let’s catch up” messages, both helping and motivating you to keep in better touch with friends you don’t regularly see.

Upon first log-in with Google OAuth, the app pulls the user’s profile and contacts and saves them to a database for future use. Users can then write new messages or select from several default options and schedule messages as they please.

Technology Stack:

React/Redux, JavaScript, Python, PostgreSQL, Flask, OAuth2.0, Webpack

APIs Used:

Gmail, Google Contacts


Ivy Chen

GitHub | LinkedIn

Ivy majored in Electrical Engineering and Computer Science at UC Berkeley, but has worked in client services throughout her career. She was a Project Engineer at BigBand Networks where she led implementation of BigBand’s solutions at client sites. This led her to pursue her MBA at HEC Paris to expand her knowledge in the business and operations world. She then got into Business Development and Partner Management at an online marketing technology startup, BlueKai, after her MBA. BlueKai was acquired by Oracle three years ago and Ivy then transitioned into a product related role. She has always loved technology and has been amazed at what it can do and now wants to go back to her roots to start building things as a software engineer.

Hackbright Project: Eat.Plan.Love

Eat.Plan.Love. is a web app that helps users plan a week’s worth of meals. Users can enter and edit their own personal family recipes and use those recipes to do meal planning. Users can also see a shopping list for the week that aggregates all the ingredients needed for that week to take to the grocery store.

Technology Stack:

PostgreSQL, Flask, Python, HTML, Jinja, JavaScript, jQuery, AJAX, Bootstrap

APIs Used:

Spoonacular, Chart.js


Kaia Young

GitHub | LinkedIn

Kaia has 7+ years of experience in action plan development and implementation in the field of social work. Most recently, Kaia was a Case Manager Supervisor supporting high-risk individuals with a developmental disability and mental illness diagnosis. In 2014, Kaia moved to the Bay Area and has been self-employed as a musician and producer, completing production on many albums and videos, as well as licensing works for a variety of films, TV, and video games. Kaia first became interested in programming from working with early software synthesizers. Kaia enjoys working with the technology of audio engineering, and the collaborative problem solving of social work, and now is hoping to combine both to pursue a career as a software engineer.

Hackbright Project: Petrichor

Petrichor is a single page app that generates music from images provided by users or selected from the integrated Pixabay API. Music theory is modeled by 3 objects: a sequencer, a scale tracker, and a graph of chord progressions and scales. Images are analyzed to extract data points and generate a series of weight and seed values.
As the chord graph is traversed by weight, its nodes update the scale tracker, which provides a pool of notes for the sequencers. Data points from the image are used to populate sequencer objects to track the on/o states, and other properties of individual notes. The sequences are played by the Tone.js framework for the Web Audio API, also using data from the image to synthesize sounds.

Technology Stack:

Python, NumPy, SQLAlchemy, PostgreSQL, Flask, Bootstrap, jQuery, Tone.js, Web Audio API

APIs Used:

Pixabay API, Web Audio API


Karen Hsing

GitHub | LinkedIn

Karen graduated from the University of California San Diego with a BA in Economics and Communications, and has worked in various marketing roles for the past few years. Most recently she was an account manager at a marketing agency creating integrated marketing solutions for a wide range of clients in the lifestyle, hospitality, and tech industries. Having taught herself how to build websites at an early age, Karen continued to further her knowledge in programming through online classes. She became inspired to pursue a career in software development after she moved to San Francisco and started regularly attending coding meetups after work. Karen looks forward to bringing her creative thinking to her future software engineering role.

Hackbright Project: ChefBox

ChefBox is an all-in-one tool for aspiring chefs and home cooks to discover recipes, save memories of their culinary accomplishments, and reduce food waste. ChefBox searches for recipes based on users’ available ingredients, personal preferences, and dietary restrictions. Registered users have personalized dashboards where they can add ingredients to their inventory, nd new recipes that utilize their ingredients, access saved recipes from previous sessions, and upload photos and reviews of their completed dishes.

Technology Stack:

Python, JavaScript, AJAX, JSON, jQuery, SQL, HTML, CSS, Flask, Jinja, PostgreSQL, SQLAlchemy, Bootstrap, Bcrypt

APIs Used:

Spoonacular


Kathryn Douglass

GitHub | LinkedIn

Prior to Hackbright, Kathryn was the Operations Manager for a group of three San Francisco restaurants. While this experience provided her the opportunity to explore many facets of the business, she most enjoyed creating efficient systems and developing solutions to handle unpredictable obstacles. In her spare time Kathryn began exploring online courses to fuel her curiosity for software engineering and technology. She soon found her true passion in the challenge of constant problem solving and creating solutions that programming provides. Kathryn looks forward to applying her skills from Hackbright to a career as a developer and continuing to learn from those around her.

Hackbright Project: Packbright

Packbright takes the stress out of preparing for a trip by creating and managing packing lists. Users are asked to submit a location and complete a short survey, which informs the app to display weather details and generate a list of items to pack. The user can dynamically customize their outfits, edit their lists and email completed lists to themselves or other recipients. Additionally users have the option of saving a core list of items to their profile to be included in future trips. Packbright stores all past trip data so lists are easily referenced.

Technology Stack:

Python, JavaScript, AJAX, jQuery, HTML, CSS, PostgreSQL, SQLAlchemy, Flask, Bootstrap, Jinja

APIs Used:

Google Places, Wunderground, Flickr, SendGrid


 

Kristine Saryan

GitHub | LinkedIn

For the past ten years, Kristine has been working as a middle school and high school teacher, including one year as a Fulbright scholar in Nepal. In this time, she developed her problem solving, communication, and team building skills.

While she learned a great deal from teaching, she realized she wanted a new challenge. She discovered that programming allowed her to use her problem solving skills while continuing her passion for life-long learning. She was excited to hear from software engineers who said they felt like the were learning more and more as they worked with other engineers at their companies. Now, she hopes to find a career that combines her programming skills with her interest in bringing people together.

Hackbright Project: SF Street Cheat

SF Street Cheat helps users avoid parking tickets in San Francisco. The app provides the user with how much time they have until street cleaning at their parking location and suggests nearby locations where the user can park. The user can also filter results to match their parking needs and receive a text message near the street cleaning time reminding them to move their car. SF Street Cheat also provides towing information and allows the user to save locations to check on later.

Technology Stack:

PostgreSQL, SQLAlchemy, Python, Flask, Jinja, JavaScript, jQuery, AJAX, Bootstrap

APIs Used:

SODA, Google Maps, TWILIO, SendGrid


Leah Yukelson

GitHub LinkedIn

Leah studied business information systems at Cal Poly SLO with an emphasis in computer science. After graduation, she went to work at Macy’s.com doing search marketing; managing multi-million dollar budgets and making strategic marketing choices. While being on the business-facing side of advertising, she became more interested in how the technology works. She loved the logic problem solving aspect of her computer science classes at Cal Poly and decided to dive back into programming by self studying Python and then attending Hackbright Academy. After Hackbright, she is interested in combining her interest in ad technology with full-stack web development. When she’s not coding, she likes to do yoga, read and go to concerts.

Hackbright Project: Night Out

Night Out is an easy way to create a plan with friends around an event. Users input their pre-planned event into the application which generates listings of bars or restaurants. The listings can be sorted by distance, price or Yelp rating to simplify the choosing process. When the plan is created, users can add their friends, regardless if they are users, to the plan so that everyone is on the same page. Participants get an email with the full itinerary listing the time and place to meet. Users of the app have all their plans in one convenient place on their profile page along with analytics on how often they are attending plans.

Technology Stack:

Chart JS, Flask, jQuery, Javascript, SQLAlchemy, PSQL, Jinja, HTML, CSS

APIs Used:

Yelp, Google Maps, SendGrid


Mary Mealiffe

GitHub LinkedIn

Mary’s background is in music performance and education, with a B.A. & M.M. in music performance. She was previously a clarinet instructor and semi-professional performer, and discovered a passion for programming during an introductory coding course. She has what she terms “perpetual student syndrome,” and software engineering allows her ample opportunity to pursue new intellectual challenges. Programming concepts and her musical training are not mutually exclusive — she often finds parallels between thought patterns and implementation of elegant solutions to composition in both subjects. After Hackbright, Mary looks forward to applying her full-stack engineering skills as a software engineer, with a particular interest in front-end work.

Hackbright Project: The Hub

The Hub is an application inspired by the complex connections within the fictional Doctor Who universe (the “Whoniverse”). The Hub demonstrates connectivity by visualizing links between characters utilizing a graph created with the D3.js library. Users can also access character and individual season images and summaries, as well as create an account in order to rate characters on a 5-star scale. The Hub emphasizes a strong focus on front-end design.

Technology Stack:

Python, JavaScript, Flask, Jinja, HTML/CSS/Bootstrap, SQLAlchemy, PostgreSQL, D3.js, Svelte (JS framework)

APIs Used:

Custom-built dataset (after using Wikia Fandom API w/ Python wrapper, then webscraping with Beautiful Soup, and determining returned data was too inconsistent to be ideal for building this app properly).


Michela Bestwick

GitHub LinkedInLinkedIn

Michela graduated from UCLA with a BS in Mathematics. She has worked at Triage Consulting Group for 5 years, providing revenue cycle consulting services to hospital systems. At Triage, she developed technical skills managing and manipulating large healthcare data sets on a SQL-based platform. For the last 3 years she has worked on Triage’s internal product development team and conducted internal technical trainings. In doing so, she developed a curiosity for software engineering, and began studying Python in her spare time. She joined Hackbright Academy to expand her self-taught skills. After graduation, she is excited to seek a software engineering position that utilizes her problem-solving and technical skills.

Hackbright Project: Spot

Spot is an online marketplace for dog breeders to connect with buyers. Users can search for dog breeders (by exact breed name, or certain characteristics) from around the country and find a breeder that fits their needs. On a breeder’s page, users can find info about the breeder, upcoming/past litters, upcoming past/events, awards, and a blog.

Technology Stack:

Python, JavaScript, HTML, CSS, Flask, jQuery, Bootstrap, Jinja

APIs Used:

Google Maps API, web scraping of www.akc.org


Morgan Wilkes

GitHub LinkedIn

Morgan was a psychology major at the University of Illinois at Urbana-Champaign. She chose this major because she has a naturally inquisitive mind and psychology nurtured it. She liked learning about the mechanisms that inform human thought and behavior. She learned about emotional wellness and was interested in both emotional and physical health. She considered pursuing dental school and as a dental intern she realized the job wasn’t for her. As she considered her next career move, a friend suggested she look into programming. Morgan realized programming allows her to always be learning and exercise her creativity and naturally inquisitive nature by working through the logic of code, but also gives her a career that would be a better fit.

Hackbright Project: Seat

Seat allows users to search for coffee shops and find out how busy those coffee shops. Seat tells users how likely it is that they will be able to find an open seat at their local coffee shops. Users can also rate how busy a coffee shop is that they are currently in. This user submitted data is averaged and displayed across a bar graph. This allows users to easily visualize how crowded a given coffee shop is at a certain time.

Technology Stack:

ChartJs, AJAX, jQuery, Python, JavaScript

APIs Used:

Google Maps


Natasha Mitchko

GitHub LinkedIn

Natasha graduated with an undergraduate degree in chemistry from NYU and is a New York native. After graduation she worked for two years at Google as a technical specialist for Google’s emerging local ad products. After realizing her passion was even more technical than she originally thought, she decided to up-skill her computer science knowledge and pursue a career in software engineering. She is currently a fellow at Hackbright Academy learning the hard skills that will help her become a backend/ full-stack developer. In her free time Natasha enjoys 3D modeling in Maya and Unity. She also enjoys reading about current trends in chemistry and physics.

Hackbright Project: Scavenger Hunt

Scavenger Hunt is a game where users can accept challenges and complete them for points by uploading a photo of them completing the challenge. Scavenger Hunt uses computer vision to determine if the uploaded image constitutes a successful attempt and, if so, calculates the score based on how close the image is to the goal.

Technology Stack:

Flask, Jinja, PostgreSQL, SQLAlchemy, Bootstrap, JQuery

APIs Used:

Google Cloud Vision API


Samantha Nielsen

GitHub 

Samantha graduated from from Santa Clara University with a Bachelor’s Degree in Theater Arts and Communication. After college she began work in the travel tech industry at Concur Technologies, for their TripIt product. She worked on a team of developers as a support specialist and project manager for over three years. It was during this time, working with developers that she began to teach herself some Python. Through self study and online courses she continued learning and the more she learned the more she liked it, realizing she loved the way it made her think and how it felt like a puzzle. This led to her decision to apply for to Hackbright.

Hackbright Project: SOJOURNAL

An online travel journal, where you can create trips and add entries to the trips for the different places you visit. Entries include a geocoded location, a photo and a note. You can add friends and see where your friends have traveled to. You can share specific trips with friends or request details for trips from friends, which allows you to view all their entries for a trip.

Technology Stack:

Python, Flask, jQuery, Jinja, SqlAlchemy, JavaScript, HTML, CSS

APIs Used:

Google Maps, SendGrid


Sasha Skinner

GitHub LinkedIn

Before coming to Hackbright, Sasha worked at a cognitive neuroscience lab at UCSF investigating how technology based interventions affect cognition. She especially enjoyed working with MRI data and was fascinated by the process of transforming a raw dataset into something meaningful. Prior to UCSF, Sasha conducted community health education and outreach with AmeriCorps. Through these experiences, she became passionate about data analysis, social justice, and improving healthcare. Realizing what a critical role technology plays in these interests, Sasha decided that software engineering would be a great way to make meaningful contributions to these fields while engaging her love of problem solving.

Hackbright Project: Grab Back

Grab Back visualizes employment data on a map divided by congressional district. Users can explore women’s overall representation in the labor force or their representation in management positions. A side chart displays the districts that have the highest or the lowest representation of women. When users enter their zipcode, the side-chart will update to show the rate of employment of women in that zipcode’s congressional district, the zipcode’s state, and the U.S. as a whole. Lastly, the user can use the scroll bar to visualize historical employment data.

Technology Stack:

Python, JavaScript, Flask, d3.js, HTML, CSS, SQLAlchemy, Postgres, Chart.js, jQuery, AJAX

APIs Used:

Census Data API


Shilpa Dutta

GitHub LinkedIn

Shilpa has always been passionate about making the world a more fair and equitable space. She graduated in 2014 with her MPH in Community & International Health and has worked extensively in research and with marginalized populations. After realizing she had creative, quantitative, and problem-solving strengths that were not being challenged or explored, she began to learn programming languages on her own. She soon decided to switch careers and embark on a wonderful journey at Hackbright with her newfound love for web development and finding creative solutions using computer science. Shilpa looks forward to combining her passion for social justice and health equity within the ever-growing technology world after Hackbright.

Hackbright Project: inTentsLending

inTentsLending is a web application that enables peer-to-peer sharing of camping gear. Lenders may upload their gear they would like to lend out. Campers may search via their geolocation, brands, categories, keywords, and a different location and borrow desired items for a specific amount of time. This project’s goal was to contribute to the information technology world’s recent momentum in sharing economy, as collaborative consumption has become a great way to live and consume sustainably.

Technology Stack:

Python, Flask, Jinja, PostgreSQL, SQLAlchemy, JavaScript, HTML/CSS, AJAX, JSON

APIs Used:

Google Maps (Geolocation, Places)


Are you ready to get started with your career in tech? Enroll in our 12-week immersive program and Hackbright Prep Part-Time. Deadline for full-time is 6/16, part-time 7/28

Amazing Web Apps Built by Brilliant Women Engineers!

During Hackbright Academy’s immersive and rigorous 12-week software engineering fellowship, students built impressive web apps in just 4 weeks! Get ready to be inspired by these amazing women and their creations ranging from trip planning to ride sharing apps that showcase their unique personalities.


Katherine Cohort


Allie Glotfelty

GitHub | LinkedIn

Allie Glotfelty is a tenacious problem-solver and collaborative teammate. She came to Hackbright by way of a major in mathematics at Colby College and a career in nonprofit development. Most recently, Allie was responsible for the online platform development, partnerships and events at Technovation, a global mobile app competition for girls. Allie was so inspired by seeing the girls at Technovation develop apps to solve problems in their community, she left to do the same.

Hackbright Project: Run Holmes

Run Holmes helps users reach their running goals. The application uses a unique algorithm, backed by research from thought- leaders in the running community, to develop a mileage-based training plan. Users can download their plan as an excel doc from the homepage or create an account to take advantage of several accountability features. Once logged-in, users can mark off completed runs and track their progress on the runner dashboard. They can also sign-up for reminders via SMS or email, and add running workouts directly to their Google Calendars. With Run Holmes, users have all of the tools and motivation needed to meet and exceed their running goals.

Technology Stack:

Python, Javascript, Flask, PostgreSQL, SQLAlchemy, HTML5, CSS, Bootstrap, ChartJS, unittest, Selenium, XlsxWriter, hashlib

APIs Used:

Google Calendar, Twilio, SendGrid


Amber Staab

GitHub | LinkedIn 

Prior to devoting herself full-time to Hackbright, Amber worked in user operations at Quizlet and Asana. And for several years after graduating from the University of Chicago, she worked in sales and support for Apple.

Working directly with end users—getting to know their desires and pain points—and being on the front lines through numerous launches has grounded her with a rich sense of context for the step she’s about to take and perspective that will be an asset to the company she joins after graduating.

Becoming an engineer is, for her, the next step in an ongoing commitment to contribute more deeply and directly to building a great product that people love. If this resonates with you, she’d love to talk!

Hackbright Project: DoBeDo

DoBeDo applies the notion of quantified self to the question of how to spend our time if optimizing for happiness. Users track how they feel before and after regular activities to better recognize which ones have the most positive impact on their mood.

At signup, they select up to ten activities to track. Going forward, they record when they plan to do an activity and how they’re feeling about doing it and, afterward, when they finished and how they felt then. The app provides a visualization of their sentiments before and after. They can also opt in to receive an automated text message reminder if 24 hours have passed since they’re likely to have completed an activity and they haven’t yet recorded how they felt about it.

Technology Stack:

Python, Flask, SQLAlchemy, PostgreSQL, JavaScript, Bootstrap, jQuery, Jinja, Chart.js

APIs Used:

Twilio API


Amelia Green

GitHub | LinkedIn

Amelia is currently an engineering fellow at Hackbright Academy. In true Bay area nature, her introduction to programming came in the way of engineering housemates, to be exact, a full house of engineers! Their work discussions inspired her to enroll in Hackbright’s part time course where she was introduced to Python fundamentals and built her own project that intertwined her interests of travel and programming. Upon completing the part-time course, she knew that she wanted to become a software engineer. She is excited to apply what she learned from Hackbright’s engineering fellowship. Outside of programming, she is either running her Etsy store (she sells crocheted accessories) or making videos of her adventures with her Husky.

Hackbright Project: Wanderlust Ave

Wanderlust Ave is a travel app designed to motivate users to create bucket lists and check o their bucket items. A user can find items to add by keyword search, a D3 map to search by country, or by looking at popular bucket items. Facebook is integrated to make it easier for a user to connect with friends. Charts are used to display which Facebook friend has the most items in common and which countries they have the most uncompleted items in. A user can also visualize each list’s locations via Google Maps. Lastly, when a user marks an item as complete, a progress wave gauge updates to show the percentage of completed items.

Technology Stack:

Python, PostgreSQL, SQLAlchemy, Flask, Jinja, Javascript, JQuery, AJAX, D3, HTML, CSS, Bootstrap, Selenium, Boto3

APIs Used:

Facebook, AWS S3, Google Maps


Ashley Trinh

GitHub | LinkedIn 

Ashley Trinh is a data-driven problem-solver; she enjoys the challenge of using prior knowledge to create optimal solutions that benefit others. To fulfill her passion for creative problem solving, she has been a fine artist, UX researcher and graphic designer, and computer science tutor, but she kept coming back to her programming hobby. While spending another weekend hacking together video games and solving problems on CodeWars, she decided to apply to Hackbright Academy. At Hackbright, Ashley has built on her prior coding experience, solidifying and formalizing her knowledge of computer science fundamentals. Afterward, she will continue to seek out new problems so that she can solve them by pursuing a career in software development.

Hackbright Project: Portfolio Web CMS

Portfolio is a lightweight web content management system for users to manage their online portfolio. Intended for creative professionals and hobbyists who need a simple solution for content management: users can create projects, upload images associated with those projects, and set tags for each project. They can create and edit categories for their projects. They can also create and edit pages of text content and external links to other websites. The information will appear on a public portfolio with a clean, professional layout. Portfolio also includes an extensive API.

Technology Stack:

PostgreSQL, SQLAlchemy, Python, Flask, Jinja, JavaScript, AngularJS, Bootstrap


Chine Ikoro

GitHub | LinkedIn 

Chine graduated from Johns Hopkins University with a bachelor’s degree in Writing. Prior to Hackbright, she worked in digital marketing at Ubisoft Entertainment, where she provided data-driven insights and worked closely with game developers to enhance marketing strategy for the AAA video game “For Honor”. Working with such large amounts of data sparked Chine’s interest in complex data structures, which led her to start teaching herself Python and SQL. Looking forward, Chine is excited to use her marketing/data analytics background, enthusiasm for learning, and her love of well-written code (and even better- written documentation!) to build scalable, consumer-minded software.

Hackbright Project: Staycation

Staycation analyzes a user’s food and activity preferences and plans a night out for them in San Francisco. The catch? The user’s destinations are a surprise! Using the Twilio API to guide users based on their responses to text updates, users are taken to a restaurant and a post-dinner activity, both chosen using the Yelp API and curated to be within the user’s tastes, food preferences, and interests. Features include a “Get Up And Go” button that orders a Lyft for the user to take them to their first surprise destination right away, and a unique matching algorithm to allow users to join other trips using a Tinder- esque swipe interface.

Technology Stack:

Python, Flask, Flask-Mail, PostgreSQL, SQLAlchemy, Javascript, JQuery, AJAX, JSON, HTML, CSS, D3

APIs Used:

Yelp, Lyft, Twilio, Google Maps


Christine Urban

GitHub | LinkedIn 

Bay Area native Christine Urban gravitates toward software engineering out of a keen sense of detail and a penchant for problem-solving. In her prior career as a registered dietetic technician and a pediatric gastroenterology practice manager, Christine found herself yearning for more of a challenge. She began building websites from scratch, landed an email developer position, and continued on to Hackbright Academy. Christine’s heart is in the front end because she loves building upon the web’s beauty and utility. She looks forward to integrating her client-focused background with client-side development to create interactive and user-friendly applications.

Hackbright Project: OuterSpaces

OuterSpaces helps users find outside places to eat, sit, and see public art in San Francisco. An OuterSpace is a food truck, a privately-owned public open space, also known as POPOS, or public art, as part of the 1% Art Program. Users can view all locations on a map within San Francisco neighborhood boundaries, or have a trip created for them according to their current geolocation. A user can also get detailed information on each location, get walking or driving directions, find other nearby locations, search by name or keyword, and see locations near an address. In addition, users can sign up for an account and save/delete favorite OuterSpaces on their profile, as well as update their personal information.

Technology Stack:

JavaScript, Python, Flask, jQuery, Bootstrap, Jinja, AJAX, JSON, PostgreSQL, SQLAlchemy HTML, CSS, Shapely, Flask-Cache

APIs Used:

Google Maps JavaScript, Geocoding, and Geolocation APIs; Socrata Open Data API

Erika Kettleson

GitHub | LinkedIn

Erika Kettleson studied Art History and Women’s Studies at Wellesley College. She has always worked with images and started as an editorial assistant and producer before moving to London to work in trend analysis. After joining an e-commerce start- up in SF as a Photo Editor, Erika developed her design, branding and production skills while curating and producing all imagery company-wide. She has always been interested in quantifying visuals, demystifying fashion, and trend forecasting & history, and she looks forward to combining her interests and join a team of questioners, analysts and passionate people.

Hackbright Project: Show.Me

Show.Me is an interactive web app leveraging a custom built data set of the most popular colors over the last ten seasons of runway shows. Working with about 20,000 images from thirty designer brands, each show was processed, sampled & analyzed using k-means clustering and Pillow, and the top ten colors pulled out for visualization. Charts examine color use by year, season, brand and by overall individual popularity.

Technology Stack:

Python, JavaScript, JSON, AJAX, JQuery, HTML, CSS, SQL, Flask, Bootstrap, Numpy, Pillow/PIL, Chart.js


Generosa Litton

GitHub | LinkedIn

Generosa has always been passionate about endeavors that challenge and add to her tool kit. With a BS in Engineering and an MBA, Generosa has deepened her technical skills with a software engineering fellowship at Hackbright Academy.

Previously a Director of Marketing at various high-tech companies including Hitachi, EMC, NetApp, and Oracle, Generosa not only created and presented content that translated technical concepts into business value, she also influenced teams to see the big picture, effectively problem solve, and efficiently execute to the desired outcomes.

Generosa is excited to use her software engineering skills, leadership, and business experience to create solutions that add value to people’s lives.

Hackbright Project: PAWS Finder: A Pet Adoption Application

PAWS Finder: Where Pets And Wonderful Shelters Are Just A Click Away!
Quickly search for an adoptable dog or cat that from a shelter near you. With PAWS Finder, registered users can quickly find their ideal dog or cat by entering criteria such as location (zip code, or city/state), gender, size, breed, and age. Searches can be saved and retrieved at a later time. Want to know which shelters are near you? Simply enter a zip code and all shelters with adoptable pets will be displayed via Google Maps complete with an info window that displays links to available pets and contact information. With PAWS Finder you get the most-up-to date adoptable pet and shelter information anytime and anywhere.

Technology Stack:

PostgreSQL, SQLAlchemy, Flask, Jinja, Python, Javascript, JQuery, AJAX, CSS, HTML

APIs Used:

APIs: Petfinder, Google Maps, Zipcode


Hannah Schafer

GitHub | LinkedIn

Hannah Schafer is a software engineer with a love for all things Python and JavaScript. After graduating with a masters from Harvard University, she moved to the Bay Area 2 years ago, where she worked across the startup spectrum: from employee #400 at a Series E (recently IPO’d) SaaS company to employee #1 at a pre-seed social impact venture. A lifelong crossword puzzler, Hannah found herself drawn to the creativity and the puzzle-like challenges of software development. First through RailsBridge workshops, then through CodeAcademy, and on through Treehouse, she kept learning and yearning for greater programming knowledge. Enter: Hackbright Academy. Hannah is looking forward to working with a collaborative team solving meaningful problems.

Hackbright Project: Sparro

Sparrö is a web app that serves as a means to personal empathy and daily inspiration. Sparrö draws on natural language processing to conduct sentiment analysis of a user’s Twitter feed. Based on the analysis of the user’s current mood, the user receives an inspirational quote or poem suited to their attitude. The app can track the user’s attitude over time, visualize this information, and let the user set reminders via text message.

Technology Stack:

Python, JavaScript, Flask, Postgresql, SQLAlchemy, SQL, NLTK, Cron, D3.js, Typed.js, Charts.js, AJAX, JSON, Bootstrap

APIs Used:

Twitter API, Twilio API


Kallie Friedman

GitHub | LinkedIn

Kallie graduated from Stanford University in 2013 with her undergraduate in Psychology and her master’s in Management Science & Engineering. After product management experience at Intuit, UrbanSitter, and most recently at Pinterest, she wanted to better understand how products were built and be involved in that actual building process. Passionate about solving problems, learning, and building meaningful solutions for customers, she is seeking full stack engineering roles at mission driven companies with strong company culture. When she isn’t programming, Kallie enjoys travel, taking classes to learn new skills/hobbies, photography, spending time with her family, and hiking around the Bay Area with her puppy.

Hackbright Project: Audio Articles

Audio Articles allows users to save, organize and listen to articles of any sort. Intended for a time-strapped, audiobooks-loving demographic or the visually impaired, this app provides functionality to save article text and organize with tags. Users can then view their articles by different tags, last listened or date saved, etc. The most useful feature is that for any article, users can select from a host of possible voices and accents, and have their article text read aloud to them in that voice.

Technology Stack:

Javascript (AJAX/JSON), HTML, CSS, SQL, SQLAlchemy, Flask, PostgresSQL, Git, GitHub, Amazon Polly API, some React

APIs Used:

Amazon Polly, Amazon’s new text-to-speech API.


Katie Taylor

GitHub | LinkedIn

Before Hackbright, Katie spent most of her career developing a love of data. After earning an environmental science and policy degree she began a career as an environmental consultant. For eight years, she worked on databases that calculated air and greenhouse gas emissions and helped companies comply with environmental regulations. The more she learned about data and SQL, the more she wanted to dive into the world of programming.

Katie worked as a product manager for a small start-up while learning code through self-study. She then applied to Hackbright to help her make the transition to software engineering. Katie is excited to bring her 10 years of experience managing projects and data to the tech community!

Hackbright Project: Calc CO2

Using publicly available emission factor data from the EPA, the app calculates a user’s carbon footprint based on electricity and natural gas use as well as miles driven. The app visualizes the data to show how energy use decisions affect your carbon footprint over time.

Technology Stack:

Python, Flask, JavaScript, AJAX, PostgreSQL, SQLAlchemy, Chart.js, Jinja, Bootstrap

APIs Used:

Google Maps Distance Matrix API, ZipCodeAPI


Katrina Huber-Juma

GitHub | LinkedIn

Katrina discovered her creative aptitude early as a student at a Waldorf School where she cultivated a love for illustration and building community. After graduating from Sonoma State University with a degree in communications, she kicked-off her career in graphic design. Eventually, working with web designers led her to enhance her front end skills and develop her back end skills. She continued to build software engineering skills via community college classes and HackReactor Prep. Katrina looks forward to bringing ideas to life from design to code.

Hackbright Project: Pair Necesseties

Pair Necessities manages administrators, cohorts, students, student lab pairings, labs and keywords relating to the labs. Pair Necessities allows a Hackbright student to join a cohort, find a lab by keyword, see who she paired with on that lab and keep notes with her pair on what they learned together. Administrators can create cohorts, create labs and create lab pairings.

Technology Stack:

PostgreSQL, SQLAlchemy, Python, Flask, Jinja, Javascript, JQuery, Bootstrap, Selenium, Unittest

APIs Used:

Gravatar


Luna Yu

GitHub | LinkedIn

Luna specialized in marketing at a SaaS company in China before she attended business school at Hult in San Francisco. During business school, she was inspired by the tech scene and began learning how to code from scratch. She took an intro to front-end web development course at General Assembly and nished 200+ code challenges at Free Code Camp. She joined Hackbright to build a solid foundation in software development. Luna enjoys the connection between creativity and technology. She enjoys using her creativity to build new technology and would like to develop technology that helps people express their own creativity. When she’s not coding, she enjoys playing guitar, watching movies, and biking under the sun with friends.

Hackbright Project: Wes World

Wes World is catered to people who enjoy matching colors for their daily outfits. It aims to simplify and gamify an online shopping experience by displaying an ensemble of clothes from the Etsy API, based on the color palettes of Wes Anderson’s movies. By default, a user can browse the ensembles and individual clothing items without an account. But an account profile would come in handy when he or she wants to save the ensembles to the dashboard. To gamify the experience and encourage social interaction, each user will have one point when the ensemble he or she saved are saved by another user.

Technology Stack:

Python, JavaScript, jQuery, HTML5, CSS3, Materialize, Flask, SQLAlchemy

APIs Used:

Etsy API


Lydia Y. Huang

GitHub | LinkedIn

Lydia Huang comes from a background in manufacturing specializing in the medical device industry. For the past 10 years she worked as a sales engineer helping companies build their latest medical technologies. She attended a robotics competition and after witnessing the work these students were able to produce over the span of a few months, and was inspired to learn more. She embarked on a new journey at Hackbright and now knows that programming is her true passion. Lydia looks forward to merging her sales engineering experience with her programming experience as she builds a software engineering career where the creative and analytical intersect.

Hackbright Project: ParkerSF

For her Hackbright project, Lydia built ParkerSF – Parker SF relieves anyone trying to find parking in the bustling city of SF. ParkerSF will take in a user input location and return 10 sorted closest parking garages near the destination. The locations of the garages are return as markers on a Google map linking to the garages displayed in the side bar. The map feature provides users a visualization of how far the garage is from the destination, allowing the user to select the most convenient garage possible. In addition, this application also allows the user to compare the ratings of every garage to select the best garage possible as well as a chart and table to visualize the user’s past parking history.

Technology Stack:

Python, SQLAlchemy, PostgreSQL, Flask, Jinga2, HTML5, CSS, Bootstrap, Javascript, jQuery, AJAX, chart.js, Python Geocoder

APIs Used:

Google Maps


 

Medalis Trelles

GitHub | LinkedIn

Medalis graduated from Cornell University with a degree in Labor Relations. She began her career as a client advisor at Bessemer Trust, where she was inspired by a number of entrepreneurs to start a business. Two years later, Medalis founded a dog walking business in Washington DC, Wagntail. To manage Wagntail, she relied on a third party web app to provide updates to her clients. Eventually Medalis tried her hand at making her own app. Before she knew it, she was spending more time learning to code than growing her business and decided to transition to a career in software engineering. Medalis hopes to blend her entrepreneurial background, programming education, and hustle to join a mission-driven company as a full stack developer.

Hackbright Project: NextRead

Dr. Seuss used to say, “the more that you read, the more things you will know. The more that you learn, the more places you’ll go” to highlight the importance of reading. With that sentiment in mind, I wanted to build a tool, NextRead, that would solve a constant pain for many readers, “what should I read next?” NextRead is a sleek reading list and book recommendations site powered by the Goodreads API and the Typeahead Javascript library. Hear a book recommended on a podcast? Add it to your NextRead list on the go! In the event you’ve read all the books in your reading list, curated lists (scraped with Beautiful Soup from the Listopia community) are displayed next to each reading list based on each list’s subject.

Technology Stack:

Python, Flask, Jinja, SQL, SQLAlchemy, Beautiful Soup, Typeahead, HTML/CSS

APIs Used:

Goodreads API


Soo Park

GitHub LinkedIn

Soo’s passion for software engineering started in elementary school, where she loved xing and programming a beat-up IBM 286 computer inherited from her older sister. Soo fostered her love for technology and went on to lead Samsung’s securities subsidiary as part of their technology and education sector and worked as an IT manager at a multinational trading company, developing shipment tracking modules, managing systems, and building global websites. Soo also founded a startup that conducted IoT market feasibility analysis for clients such as Intel. She has loved working in IT, but has always dreamed of becoming a software engineer and joining a company that changes the tech industry and the world.

Hackbright Project: Organza

This project is built to accommodate needs of global companies that may want to have their own employee roster.

Along with the basic features of segregated login, employee list view, and employee info detail features, users can 1) search employees with multiple conditions selected
2) add employees, upload employee photos with auto update on relational data tables
3) view organizational chart and o ce location map

Technology Stack:

Python, JavaScript, HTML, CSS, SQL, Flask, SQLAlchemy, PostgreSQL, JQuery, Bootstrap

APIs Used:

Google Maps


Are you ready to get started with your career in tech? Learn more about our 12-week immersive program and Hackbright Prep Part-Time.

#GlobalEngineer Day – Hackbright Grad Creates App for Good

Natalia Margolis, Hackbright Fellowship Grad and Software Engineer at Huge, created an app called Notifica that allows people detained for deportation to send out alerts to family, friends and lawyers with the push of a button. In celebrance of #GlobalEngineer Day, we sat down with Natalia and talked about her experience at Hackbright, her experience working on Notifica, and her advice for women seeking a career in software engineering.

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What was the inspiration behind creating the Notifica app?

The inspiration came from Adrian Reyna of United We Dream, and the original hackathon team in Oakland. We met at a post-election action Meetup co-organized by PyLadies and Techqueria. When we went around the table saying what gave us hope, he said it was that folks already have strong networks supporting them. Adrian wanted to use tech to create a tool to activate those networks for a rapid response to Immigrations and Customs Enforcement (ICE) raids and to give people some control in a moment of chaos and uncertainty.

For our company hackathon, Cid Donham, Genki Hagata, Jessie Kim and I worked with Adrian to make this app a reality. The goal is to provide a way for undocumented immigrants to take control in a situation that causes a lot of uncertainty and fear. We were all deeply disturbed by the militarization of ICE and the fact that more and more people are getting swept up in raids and targeted attacks. After the hackathon, we ramped up and an incredible team of developers and designers worked around the clock, fighting to get the resources we needed to get this app into the hands of users as fast as possible.

How has the creation of the app impacted your own life?

It impacted my sleep and quesadilla intake… But seriously, this has affirmed why I got into tech in the first place. I wanted to find ways to bridge tech and social justice. After working on this, I have more confidence that I can actually do what I originally set out to do when I made the career transition.

I have also learned how much can get done, and how many roadblocks you can work through, when a team is passionate and genuinely cares about the success of the product on a deeply personal level. For everyone who worked on the team, this project has inspired a sense of purpose.

Natalia_Margolis_career_day

How did your experience at Hackbright prepare you for working within a large digital organization like Huge?

I learned how to pick up new technologies quickly, and I learned to not be intimidated by the unknown. Pair-programming taught me how to communicate clearly about code, how to collaborate, and how to leave the ego out of work. Being around inspiring and supportive women also set me up with a little voice in my head encouraging me when I have challenges, and advising me about how to succeed as a woman in this industry.

Why is it important for software engineers like yourself to create apps for good?

If the tech community is upset about what’s been happening after the election, or what’s been going down for a lot longer than that, it’s time to do something about it. The tech industry has a ton of resources and skills to contribute. As a privileged white woman, I have benefited from an unfair system, and have a lot of resources too. Let’s leverage our resources by working with nonprofits, grassroots movements, and civic organizations to develop the tools they need, and develop apps with a purpose.

And hacking on apps for good in our spare time is a great start, but we also need to change the industry fundamentally. We need to be conscious of the ethical impact of our work and the lack of diversity in the culture of tech itself. For example, when software used to make decisions in the criminal justice system ends up having racial bias, it’s clear that software engineers need to think about the implications of what we’re developing and make sure the decision-makers and developers are diverse enough to have the perspective to flag these kinds of issues in the first place.

Any advice do you have for Hackbright students pursuing the job search after graduation?

Don’t be afraid to admit when you don’t know things. You won’t learn anything if you pretend you already know it all. The companies that are worth working at will value that honesty and curiosity, and will be the best places to grow.

Check out Notifica here and follow Natalia on Twitter @nmargolis89

 

EXCLUSIVE SCHOLARSHIP OFFERS FOR OUR UPCOMING COURSES:

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In honor of International Women’s Month, every student will receive a $1500 scholarship for our full-time fellowship or a $500 scholarship for our Part-Time June courses!

Hackbright Academy is the engineering school for women in San Francisco dedicated to closing the gender gap in the tech industry offering 12-week software engineering programs and night courses for women.