We just launched our web-based, mobile-responsive app (Atmos App). We'd love feedback on what you like about other productivity apps you use (Notion, Tiimo, Motion...). Drop your comments on what you like and if you have time would love a look at my platform.
https://www.producthunt.com/prod...

Hey folks. For the past few months, I ve been building Relay, a communication tool designed to be a mashup of IRC/Discord with an integrated server Wiki area for community contributions.
Link to Relay

I m looking for Alpha Testers to:

1. Stress test the real-time message relaying.

2. Provide feedback on the UI/UX -- is it intuitive? What can I change/fix?

3. Tell me what features are missing that would make you leave Discord for good.

I d love for you to take it for a spin and let me know what you think. Thx in advance!

Hello Product Hunt!

I m Joe Henzi, the creator of MLS Writer.

Hey everyone!

Launching soon on Firefox Add-ons Max is an AI-powered browser extension that eliminates tab-switching when you need AI assistance while browsing.

Most contract software still makes you:

• Start from templates

• Manually place signature fields

• Rewrite the same clauses

• Hope nothing important is missing

We built Bind to flip that model.

We re letting users take over Votap
One thing that s been really cool lately? The emails.
People telling us what they like.
What they d change.
Which politicians we should add next.
I answer as many as I can, but it made me realize something:
If Votap is about public opinion
then the app itself should be shaped by public opinion too.
So in the next update (coming very soon), we re adding a proper feedback space directly inside the app.
You ll be able to:
Suggest features
Request politicians
Comment on ideas
Upvote what you want to see next
Other users can vote on suggestions too so we build what people actually care about.
Votap is a people platform first.
So the product should evolve with the people using it.
We want this live before our next bigger user acquisition push (aiming much higher next time ).
If you want to help shape it, download Votap from the App Store.
More tomorrow.

I built an MCP server that connects coding agents (Claude Code, Cursor, OpenCode, Codex) to a collaborative workspace where your team and other AI models can review what the agent is planning.

The problem: When Claude Code creates an implementation plan, it lives in your terminal session. Nobody else sees it until it becomes a PR. If you want GPT to check the architecture or a teammate to flag issues, you're copy-pasting between windows.

This MCP server fixes that.
When your agent creates a plan, it gets shared as a collaborative thread in CoChat. Engineers comment on it, other AI models review it, and you pull all the feedback back into your agent's context with one command. Decisions can be saved as project memories that persist across sessions and are searchable by anyone.

What it does:
Plans: Auto-shared as collaborative threads. Pull feedback back into your terminal. Cross-model review: Have GPT review your Claude plan, or vice versa.
Project memories: Semantic memory that persists across sessions, models, and people.
Ask: Query your project's knowledge base from the terminal.
Auto-scoping: Detects your project from git remote. No config needed. Setup is one command per agent. Auto-share behavior is configurable (off/plan/all).

Building an AI SaaS and hitting a wall I didn't expect.

We charge customers based on usage (credits). But tracking actual LLM costs per customer is a nightmare: