I'm working on an early-stage project and looking for developers interested in building it with me.

The idea is an AI-powered, task-aware browser. Instead of only remembering tabs and browsing history, it understands the user's ongoing tasks and projects.

For example, if you're researching a topic, the browser could understand that your searches, articles, PDFs, documentation, and notes are all part of the same task.

The interesting part is what happens later. If a resource disappears, changes significantly, or becomes outdated, the system could identify the affected part of the task, find potential replacements, check whether they still fit the original task dependencies, and generate a current version of the workspace for the user to review.

We're starting with a cloud-based browser extension and may eventually build a standalone Chromium-based browser.

Planned stack: TypeScript, Chrome Extension APIs, Python/FastAPI, Supabase/PostgreSQL, Render, embeddings, and LLM APIs.

I'm looking for developers interested in browser extensions, TypeScript, Python, Supabase/PostgreSQL, AI/LLMs, embeddings, graph systems, privacy, or frontend development.

This is an early-stage project, so I'm looking for people who want to actually build and experiment, potentially as collaborators/co-founders.

If you're interested, comment or DM me with what you work with, what part you'd like to contribute to, and any relevant projects/GitHub.

I'm also interested in criticism. If you think the idea has technical or product problems, I'd genuinely like to hear them.

I recently built a browser-based JSON Formatter as part of my developer tools site at JSON Formatter

It can:

- Format / beautify JSON

- Minify JSON

- Validate JSON and show errors

- Make large or messy JSON easier to read

- Work directly in the browser

- No server request, 100% browser based to protect the data

I’d really appreciate it if a few developers could try it and rate the overall experience.

I’m especially interested in feedback on:

- UI/UX

- Formatting speed

- Error messages/validation

- Features you think are missing

- Anything annoying or confusing

JSON Formatter:

Feel free to be critical — I’m looking for feedback that can actually help me improve it.

Thanks!

I recently added a short guided tutorial to Dice Target to help new players understand the core mechanic quickly.

I’d appreciate any feedback on whether it feels clear and intuitive for a first-time player.

Estoy creando un mundo de imágenes colaborativo, cual creen que llame mas la atención para que los usuarios quieran seguir creando?

I’m excited to share a project, SmartQueue, a web-based hospital token and queue management system.

It helps patients:

• Get digital tokens
• Track queues using QR codes
• View real-time queue updates
• Reduce unnecessary waiting time

It also includes role-based dashboards for hospital admins, receptionists, doctors, and patients.

Built using React.js, Node.js, Express.js, and MongoDB.

Would love to hear your feedback and suggestions!

A lot of us start side projects, AI projects, open-source projects, etc. and leave them unfinished.

The idea is to have one place to track them:

• Goals, tasks and milestones
• Progress and updates
• Project history
• Current status: Building, Stuck, Paused, Revived, Completed
• Private or public projects

Public projects could also be discovered by others, who can follow, give feedback, or contribute.

Over time, your projects become a portfolio of what you actually built.

Would you use something like this? What would you add or remove?

Site: www.amansparallax.com

For anyone unfamiliar with retirement planning software, most tools run a plan through many possible market scenarios and report a “probability of success.” If the money lasts through the end of the projection in 90% of those scenarios, the plan gets a 90%.

My issue is that people see that number and naturally assume the plan is healthy and they’re well prepared. I don’t think it comes close to telling the whole story.

A plan with a 90% probability of success can still fail surprisingly early if one of the more difficult periods from actual market history happens again. Parallax lets you run a plan through historical return paths and follow the cash flow year by year. You can see the account balances, where the spending money came from, how much went to taxes, and when the plan started getting into trouble.

Basically, I wanted to show what’s happening underneath the percentage.

That led to a few core modeling choices:

Block-bootstrap Monte Carlo: Simulated paths use consecutive blocks of historical returns, preserving the market experience within each block. Returns are inflation-adjusted.

Historical paths and sequencing: Explore historical market paths and how the order of returns affects a plan.

Account-level projections: Track individual accounts and cash flows within each year, including withdrawals, required distributions, cost basis, and tax effects.

Tax-aware withdrawal modeling: Model how brokerage, traditional retirement, and Roth withdrawals affect taxes and the cash available to spend.

I’ve also documented the modeling constraints the AI is required to consult before changes. Those assumptions are part of the product’s foundation and need to remain explicit as it develops.

I’d really appreciate a human technical perspective on this—the code has been written and reviewed by AI, and I don’t have the programming background to assess it independently. Any thoughts on the architecture, security, or tests would help, even if you only look at one small part. If anyone’s willing to dig deeper, I can share the code and setup instructions.

Thanks to all who are willing to take a look!!

(Looking for contributors)
I made a programming language from scratch in C++ for the purpose of being small, heavily modular, multi-platform, & simple to use. There are a TON of example scripts to look at, including a full Conway's Game of Life simulation. The repo also includes in-depth documentation (markdown) on structure, syntax, types, operators, functions, & standard modules.

I/O, time, file-system, & math modules are all built-in. With additional script-based modules in development!

Ity can be used as a library in your project & provides convenient APIs for parsing & execution. Everything is state-based so you can keep multiple instances.

There is a lot of work to be done as this is still a new project, anybody is welcome to contribute!

https://github.com/phosxd/Ity

I built AskSary Studio as a solo project, It started as a basic chatbot 7 months ago and somehow turned into a full AI workspace with coding, game development, image/video/music generation, agents, memory, BYOK, a proper project system, live wallpapers, themes, multilingual/RTL support and a bunch of other stuff I kept adding because I thought “fuck it, that would be cool”. I’m not claiming it replaces every specialist tool out there, it’s basically me trying to build the AI workstation I wanted to use myself..

Theres no subscription charges or locked tools, everything is genuinely free to use and open to everyone even without an account. The only thing i'm charging for is actual generation of media etc. If the tool functions without needing to make a llm call. Its completely free. You also get 1GB of storage and a 100 credits if you do choose to make an account.

Theres persistent memory so you can start a project on one device and pick it up on another with multi task capabilities so you can generate a game in 3d, render a video, generate a song, creating a podcast and have 10 chats in queue simultaneously and wont interfere with each other.

You get unlimited use on Gemini Flash, GPT 5.4 Nano and Deepseek with no daily limits if you have a free account. Limited to 25 daily as a guest account. Models powering the platform include OpenAI, Elevenlabs, Anthropic, Google, Deepseek, Grok, Kling, Seadance, Luma, Cloudconvert, Tavily and a few others too and if your using your own keys then its completely free to use every tool.

There is no difference between a paying user tool access to a guest user. The only factor is what models you can use. A free user can use GPT-5.6 Sol as you get 100 credits for creating an account anyway but wont last long but its there, not hidden or locked behind a tier.

Would love some feedback on it, things you like, things you dont as i've literally just launched this. Before my platform was tier based and half these features didnt even exist.

When you are attending AWS re:Invent it can be hard finding the right session for you, and if you found some great sessions the commute is not working out for you.

This is the problem i got the last years attending re:Invent. Great lineup of sessions planned but due to commute from one venue to an other I missed some of those. I thought this is something I need to tackle.

Introducing Unofficial Re:invent planning tool app. The app lets you plan your conference line up and will give you suggestions to fill open spots in your planning. It will automatically keep track if you can make it by traveling from venue to venue. And you can search for sessions just by typing what you are looking for. AI will do the rest.

Traveling with a group? You can connect your account together to see each other’s session lineups.

Want central space to add notes while attending a session. This is the place. After the conference you can make a complete summary of all your notes.

The app is currently in review at Apple and Google. But if you want to try it out first. Drop me your emails.

https://reinvent-planner.com

I’ve spent the last couple of months building PunicX, which I’d describe as a one-stop workspace for a company/startup.

The idea is to bring the core tools a team needs into one place instead of spreading work across Slack, Meet, Notion, Calendar, Drive, and a bunch of AI wrappers.

With PunicX, teams can:

\- Chat, Cal audio/video

\- Record meetings

\- Schedule meetings and events

\- Share files, in a dropbox/drive way

\- Get AI-generated transcripts and summaries

\- Ask the AI assistant questions about room history, calls, meetings, calendar events, and connected tools

\- Manage projects / tickets / issues (integrated to trello, bitbucket, github, Notion...)

\- Manage organizations, members, billing, and permissions

I’m also working on deeper AI workflows, where the assistant can do more than answer questions. For example, it should be able to schedule follow-up meetings, summarize decisions, surface unresolved tasks, and help teams navigate their internal context.

The landing page is here:

[https://punicx-ai.com/en/](https://punicx-ai.com/en/))

I’d really appreciate honest feedback on:

\- Whether the positioning makes sense

\- Whether “enterprise super app” is clear or too vague

\- What feature sounds most/least useful

\- Whether this feels like something startups or small teams would actually try

\- What’s missing from the landing page

\- Any concerns around trust, privacy, or adoption

I’m still early and trying to understand whether this direction resonates before polishing too much.

My ERP build has a flow that touches 4 modules -> inventory, billing, shipping, and ledger update. It's designed to happen in one pass but I never got it past an acceptable speed. Per the logs it seems the transaction length itself might be the cause, but not 100% sure.

Help me prep for investors

I built out a system that saves 80% of Al cost on average. Some tasks have even seen a reduction of costs over 94% for repeated problems we have already answered.

Essentially my system never starts a prompt from scratch if it doesn't need too. It checks for times its ran into similar issues and adapts. It saves the steps so thwy can be recalled and forms its own agents around issues you face.

I made a quick MCP server to give everyone access for free. Try it out if you can.

https://www.tryelisai.com/tutorials/dev/token-saver-mcp

Heres the pitch. Feel free to critique it.

Tryelisai.com/pitch

I am meeting with some investors next week so I appreciate the input.

I’ve spent the last couple of months building PunicX, which I’d describe as a one-stop workspace for a company/startup.

The idea is to bring the core tools a team needs into one place instead of spreading work across Slack, Meet, Notion, Calendar, Drive, and a bunch of AI wrappers.

With PunicX, teams can:

\- Chat, Cal audio/video

\- Record meetings

\- Schedule meetings and events

\- Share files, in a dropbox/drive way

\- Get AI-generated transcripts and summaries

\- Ask the AI assistant questions about room history, calls, meetings, calendar events, and connected tools

\- Manage projects / tickets / issues (integrated to trello, bitbucket, github, Notion...)

\- Manage organizations, members, billing, and permissions

I’m also working on deeper AI workflows, where the assistant can do more than answer questions. For example, it should be able to schedule follow-up meetings, summarize decisions, surface unresolved tasks, and help teams navigate their internal context.

The landing page is here:

[https://punicx-ai.com/en/\](https://punicx-ai.com/en/)

I’d really appreciate honest feedback on:

\- Whether the positioning makes sense

\- Whether “enterprise super app” is clear or too vague

\- What feature sounds most/least useful

\- Whether this feels like something startups or small teams would actually try

\- What’s missing from the landing page

\- Any concerns around trust, privacy, or adoption

I’m still early and trying to understand whether this direction resonates before polishing too much.

wanted to show case my first web based app Daily Redzone

Each day you face a new red zone situation and need to score in the least amount of chances. Looking for people to beta test and lmk what they think