Project Overview:

I’m building a philanthropic platform called Memity, where anyone in the world can upload “one free memory” (photo or short video). The MVP is mostly designed in Webflow (front-end), but I need a developer to handle the back-end logic for:

User authentication (one memory limit per user),

File upload + AI moderation (e.g., AWS Rekognition),

Public “map explore” function (listing public memories, showing likes),

Simple like/heart system for each memory.

I already have the design specs in Figma and a partially built Webflow site. You’d be responsible for creating or configuring the back end and hooking it up to the front-end forms, so it all works smoothly.

What We Need:

User Auth + One Memory Limit

A user table and endpoints for sign-up/login.

On sign-up, hasUploaded = false.

On upload, if hasUploaded = true, block further uploads.

File Upload + AI Moderation + S3

Endpoint to receive file from the Webflow form.

Store file in AWS S3 (or similar).

Call AWS Rekognition (or Google Vision) to check for NSFW/violent content.

If pass, mark memory record as public (if user selected public). Otherwise, return an error.

Enforce a maximum file size (e.g., ~10–50 MB).

Public Listing + Like System

A GET /publicMemories endpoint returning title, file URL, country, likes, etc.

A POST /memories/:id/like for users to increment likes if they haven’t already. (One like per user per memory.)

Map Integration Support

(Optional but helpful) A small snippet or approach so we can display these public memories by country in Webflow. Possibly a JSON feed that can be embedded in a custom code block.

Session / Token Handling

Some form of JWT or session-based approach so that user actions (upload, like) know who the user is.

We’ll store the token in localStorage or a cookie. A small script in Webflow might do the “login” call and save the token.

Tech Preferences:

No-Code/Low-Code Option: If you can set this up in Xano, Supabase, or a similar no-code backend, that’s fine—whatever is fastest and most reliable.

Custom Node/Python: Also acceptable if you prefer writing a small microservice.

AWS S3: We already have an AWS account for file storage.

AI Moderation: Leaning toward AWS Rekognition for convenience, but open to Google Vision.

Deliverables:

Live, working endpoints for user auth, file uploads (with AI check), public listing, and likes—deployed somewhere stable (could be AWS Lambda, Heroku, or a no-code backend).

Instructions on how we integrate these endpoints into our Webflow forms/JavaScript.

Basic documentation (brief readme or screenshots) explaining how the system is structured (DB schema, how to add or revoke user access, etc.).

What I Provide:

Figma designs + Webflow site: pages are mostly done, including forms for login/upload.

AWS account: for S3 and Rekognition access.

Detailed specs on the data fields (memory title, user, country, etc.).

Any brand assets (logo, color scheme) if needed.

Budget & Timeline:

Budget: Approximately $500–$1,200 (flexible for the right candidate).

Timeline: Hoping for a functional MVP in 2–4 weeks.

This is a philanthropic project; we aim to keep costs modest but pay fairly for quality work.

Ideal Candidate:

Experienced with Webflow integrations (or comfortable giving me instructions on hooking up the endpoints if the dev isn’t a Webflow pro).

Proficient with AWS S3 + Rekognition (or can quickly configure no-code workflows around them).

Strong knowledge of user auth and basic security measures (storing hashed passwords, validating tokens).

Able to deliver well-documented code or no-code setups, so I can maintain it after launch.

How to Apply:

Short Intro: Tell me about a similar project you’ve built (auth, file upload, or no-code back-end) and how you approached it.

Tech Stack Preference: Node, Python, or no-code? Let me know which route you recommend.

Estimated Timeline: How many weeks do you think you’d need for a basic MVP?

Relevant Portfolio or Repos: If you have examples of hooking up AI moderation or storing user content in S3, that’s a big plus.

About Memity

Memity is a philanthropic platform aimed at storing one free memory for everyone, with an eventual plan for a time capsule. Our site is ad-free and aims to highlight genuine human experiences before AI or corporate mediums overshadow them. We’re excited to bring a developer onboard who resonates with this vision and can help shape a unique philanthropic MVP.

That’s it! Please message me if you have any questions. I look forward to building Memity’s MVP together.

• User Auth + One Memory Limit
• Store file in AWS S3 (or similar)
• A POST /memories/:id/like for users to increment likes if they haven’t already
• (One like per user per memory.)
• No-Code/Low-Code Option: If you can set this up in Xano, Supabase, or a similar no-code backend, that’s fine—whatever is fastest and most reliable
• Custom Node/Python: Also acceptable if you prefer writing a small microservice
• AWS S3: We already have an AWS account for file storage
• AWS account: for S3 and Rekognition access
• Detailed specs on the data fields (memory title, user, country, etc.)
• Any brand assets (logo, color scheme) if needed
• Timeline: Hoping for a functional MVP in 2–4 weeks
• Experienced with Webflow integrations (or comfortable giving me instructions on hooking up the endpoints if the dev isn’t a Webflow pro)
• Proficient with AWS S3 + Rekognition (or can quickly configure no-code workflows around them)
• Strong knowledge of user auth and basic security measures (storing hashed passwords, validating tokens)
• Able to deliver well-documented code or no-code setups, so I can maintain it after launch
• Short Intro: Tell me about a similar project you’ve built (auth, file upload, or no-code back-end) and how you approached it
• Relevant Portfolio or Repos: If you have examples of hooking up AI moderation or storing user content in S3, that’s a big plus

• A small script in Webflow might do the “login” call and save the token
• Budget: Approximately $500–$1,200 (flexible for the right candidate)
• This is a philanthropic project; we aim to keep costs modest but pay fairly for quality work

• User authentication (one memory limit per user),
• File upload + AI moderation (e.g., AWS Rekognition),
• Public “map explore” function (listing public memories, showing likes),
• I already have the design specs in Figma and a partially built Webflow site
• You’d be responsible for creating or configuring the back end and hooking it up to the front-end forms, so it all works smoothly
• A user table and endpoints for sign-up/login
• File Upload + AI Moderation + S3
• Endpoint to receive file from the Webflow form
• Call AWS Rekognition (or Google Vision) to check for NSFW/violent content
• If pass, mark memory record as public (if user selected public)
• Otherwise, return an error
• Enforce a maximum file size (e.g., ~10–50 MB)
• (Optional but helpful) A small snippet or approach so we can display these public memories by country in Webflow
• Possibly a JSON feed that can be embedded in a custom code block
• Session / Token Handling
• Some form of JWT or session-based approach so that user actions (upload, like) know who the user is
• We’ll store the token in local
• Live, working endpoints for user auth, file uploads (with AI check), public listing, and likes—deployed somewhere stable (could be AWS Lambda, Heroku, or a no-code backend)
• Instructions on how we integrate these endpoints into our Webflow forms/JavaScript
• Basic documentation (brief readme or screenshots) explaining how the system is structured (DB schema, how to add or revoke user access, etc.)
• Figma designs + Webflow site: pages are mostly done, including forms for login/upload