We were using AI to help with our own writing, and at some point we noticed something weird.

We d ask it to improve an idea it would rewrite everything we d read it wow, this is actually good.

and then realize we weren t even sure what we thought anymore

That stuck with us.

While building LangSwap, I kept the financial rule deliberately simple: reserve the worst-case provider cost before execution, settle the actual returned usage, refund the unused reserve, and refuse the call before upstream spend when the balance is insufficient.

The difficult parts are not the checkout button. They are retry-safe meter events, signed and idempotent webhooks, reconciliation, failed-request releases, explainable ledgers and preventing a pricing rule from turning heavy usage into a negative margin.

I have packaged that work as fixed-scope Stripe and AI billing audits and implementations performed in the customer's own environment. No secrets are required before scope confirmation, and the engagement is paid upfront at a fixed price.

If you run token-, credit- or event-based billing, which edge case is currently costing your team the most time?

Hey Product Hunt community!

I wanted to share a side project I've been working on to solve my own "algorithm fatigue." I realized music apps tend to loop the same popular tracks, making it almost impossible to discover obscure, low-playcount hidden gems from around the world.

So, I built PlayVoid (https://playvoid.live)

It s a completely "blind" music discovery SPA (Single Page Application) with a TikTok-style feed for audio.

Hey Product Hunt,

I built Penlify because most AI detectors give you one flat percentage and leave you stuck there. You get flagged, but you don't know which part of your writing actually triggered it. Penlify scores each sentence separately, so you can see exactly which lines read as formulaic, then rewrite just those in one of six tones without leaving the workspace.

Hello everyone,

I am the developer of PlanMySemester, and I just wanted to share it with you all, as this has been something I have been very proud of!

Engineers on my team started shipping 40x faster once they picked up AI coding agents. I'm the PM I already didn't have enough hours in the day, and once that happened the bottleneck flipped onto me: my job was never writing code, it's making sure they build the right thing, and there was no way I could keep up with that pace by hand. There's a ton of tooling thought through for the engineer side of this shift. Almost nothing built for the PM side the surface to actually feed an agent what matters just didn't exist.

So I built Atisbo to solve that for myself. I'm a PM and I was tired of the operational work of maintaining a backlog by hand I built something to do it for me, so my agent could work alongside me instead of me being the thing slowing it down. It turned into a context layer: user feedback, sales calls, support tickets all get synthesized and grouped by actual root problem, not by whoever filed the ticket first. Instead of a doc I have to keep rewriting, it's built to be read directly by coding agents over MCP.

Who it's for: PMs already shipping with AI coding agents (Claude Code, Cursor) who are still doing Product Ops by hand rebuilding "what's actually going on" from scratch before every decision.

The number that convinced me to keep building it: it cut about 18 hours a week of that reconstruction work off my own plate. And watching teams that pair a PM with a strong product culture, decisions and shipped fixes moved roughly 7x faster than the same PM working alone with Claude Code and no context layer feeding it same agent, same PM skill, just missing the "why" behind what to build.

fundraising is a full time job and I built a SaaS product for founders (like me) who ve ever wondered Did the investor even open my deck?

It s kind of like if DocSend and Hotjar had a baby but built specifically for pitch decks

You can track exactly how investors interact with your slides where they spend time, what they skip, when they drop off and most importantly, give them a way to book a meeting with you right then and there while they're still engaged.

No more guessing. No more cold follow-ups.

Hey PH community,

I just launched GigProposalBot a free tool that generates personalized Upwork proposals in seconds.

You paste a job description it reads the requirements and writes a proposal tailored to that specific job. Not a template, actually customized.

Would love honest feedback from anyone who freelances or hires on Upwork:

Hey Product Hunt community! I wanted to share two tools I've been working on. Both share a common philosophy: you should only pay for what you actually use, and privacy matters. --- **Toolknit** toolknit.com
A completely browser-based file processing toolbox. No uploads, no servers, no account needed. - PDF conversion, compression, merging, splitting
- Image format conversion, compression, cropping, background removal
- Video compression, GIF conversion, audio extraction
- Audio format conversion
- 60+ tools in total, all running locally via WebAssembly Everything processes right in your browser. Your files never leave your device. Free, no signup. --- **24picture** 24picture.com
A credit-based AI image studio. Pay only for what you use credits never expire. - Text to Image with 3 AI models (Nano Banana 2, NB Pro, GPT Image)
- Image to Image transformation
- AI Upscale to 4K
- AI Model photography
- AI Tattoo Design with 7 styles
- AI Sticker Maker
- Photo to Anime
- 9 specialized tools total Free credits when you sign up, no card required. --- Both are live and I'd love your honest feedback. What would you improve? What features would make these genuinely useful for your workflow? Thanks for checking them out!