🚀 Road to 1,000,000 Votap users — Day 37 | Current: 1058

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.
CoChat MCP – Let your team review what your coding agent is building
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).
How are you billing customers for LLM API usage?
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:
Led content at a YCW20 | built a Personal AI Talent Agency for Content Creators
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hey PH, so much good has come out of this community for me. Sharing something exciting we've been working really hard on for the past month. tldr: 80% of Content creators in the 10k-1M range don't have professional agency representation and spend ~60% of their time on admin around brand deals (brand discovery, outreach, follow-ups, pricing), which is their main source of revenue, by the way. I have led content and growth at a YCw20 and have done ML at LinkedIn and found a burning intersection I can really help with. YC's RFS was pleasant timing as well. Here's a demo: https://vimeo.com/1164079519?share=copy&fl=sv&fe=ci While I can point you guys to the platform immediately, unfortunately, we are jumping through CASA and other approvals on social media platforms (We connect with those to create a deep creator DNA and find the best fit brands), and literally need to onboard every user as a tester on our sandbox. But hey, do things that don't scale! we are already working with 4 creators averaging 65k followers and seeing high quality inbound for them now. if this is useful to anyone, we are onboarding a few more early access accounts (same approval limitation for a few weeks), then please let us know here: https://usesnippet.app |
"Turn dimensions into professional 2D layouts in seconds."
Meet Foursite by VirtualSpaces: AI That Turns Floor Plans into Photoreal Interiors in Minutes
We re two tech founders who ve never worked in real estate, architecture, or interior design, but we ve both struggled with one simple thing: visualizing a space before it s built.
That s why we built Foursite by VirtualSpaces, an AI interior design tool that helps anyone be it homeowners, builders, or creators, instantly go from 2D to 3D. You can upload your blueprints or 2D floor plans, \ and let AI 3D visualization take care of the rest.
I’m building ForgeSQL, a visual database modeling tool for developers
I m working on ForgeSQL, a tool to design database schemas visually and generate SQL automatically.
The goal is to keep diagrams useful even as projects grow, instead of being abandoned after the initial design phase.
I ve also started experimenting with AI to suggest database relationships from the visual model.
If you work with databases, I d love to hear your thoughts or feedback.
https://www.producthunt.com/p/fo...
Stop wasting your TestFlight on "silent" installs 🤐
Hi Product Hunt! I m building TesterBuddy because I m tired of seeing indie devs launch to crickets. We re a community-driven hub where developers swap feedback.
The rule is simple: Reciprocity. Test other apps, earn Karma, and get your own app tested by the community. It s 100% free and built for indie devs.
What Makes a Great Bitly Alternative in 2026?
Hey Product Hunt community!
For link shortening, many founders use Bitly. But as products grow, needs change. Having branded domains, link expiration, click limits, advanced analytics, team collaboration, and QR codes becomes essential.
That s exactly why we built Linkkit, to give modern marketers and founders more control over every click, without complicated pricing.
Is there anything you think a modern link management platform should have? Let me know what you think!
👉 SignWithBind — Create, sign, and manage contracts with AI (for SMBs)

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.
