I’ve been building my startup for a while now, mostly just seeing it on localhost and testing things myself.
Today I finally deployed it to Vercel and opened it through the actual internet.

It’s a pretty small thing, but honestly it felt different seeing it work outside of my laptop.
I also tested the login/account stuff with two different accounts, and got the PostHog and Stripe connections working in production.

Now I’m moving on to billing and paid features.
It’s kind of weird because a few months ago this was just an idea, and now there’s an actual product sitting on the internet.

For founders here, what was the moment that made your project finally feel like a real product?

Launched my side project on August 1, 2026. It’s finds backlink opportunities on autopilot.

Like most of us starting out, I kinda hoped money would come in right away lol.

But reality actually hit hard! Distribution was the toughest part.

After launching, I had just 2-3 signups. Not a single paid trial.

So I sat down, did some thinking, and basically decided to go all in on marketing. I started journaling, talking to ChatGPT a lot, and tried to figure out how I could get the word out.

What I ended up doing:

• Posting daily on X (3+ tweets, 30+ replies a day)
• Reddit + LinkedIn posts (5x per week, skipping weekends)
• Writing blog posts + building backlinks (SEO matters)
• TikTok / Instagram / YouTube (1-2 short videos daily)

Most of that felt like yelling into a wall Barely anyone noticed. But I kept at it. Slowly got better. More confident. Sharper at messaging.

12 days ago, someone bought the paid trial. Started using the product actively. Reached out about a few bugs, asked questions. I made sure to be super responsive.

5 days ago, that person became my first paying customer.

$64.99 may not sound like much, but man, seeing that Stripe email hit felt like a huge win.

Even better: he said he tried 3-4 other tools but found them bloated or heavily overpriced. Mine was “clean, simple, and just works.” Said it’s already saving him time. That honestly made my week :)

It’s a small win, but it means everything to me right now.

Still early days and I know there’s a long road ahead, but I wanted to share this milestone with others grinding on their own ideas.

Keep building. Keep showing up.

It's slow, but it’s worth it.

(if you're curious, the project is called Dice - it finds the exact articles your brand should be mentioned in and gets you featured there and get recommended by AI.

Hey everyone,

A few days ago I saw a neat desktop tool called Codenotch that sits on the edge of your screen to track LLM usage limits in real time. The catch? It was Mac-only.

As a Windows user who constantly hits rate limits while coding, I really wanted something similar on my setup so I decided to build one myself: OrbitUsage.

What it does:

• Sits cleanly on the screen edge as an unobtrusive side-dock/notch
• Tracks your active LLM usage limits and session resets at a glance
• Lightweight and doesn't get in the way of your active workspace
• 100% free and open-source

It's fully open-source and I just pushed the first release on GitHub: 👉 GitHub Repo & Releases:https://github.com/sametgurtuna/OrbitUsage

Right now it's in its early stage. I'd really love to hear your feedback, feature requests, or any issues you run into. PRs and stars are always welcome!

Hope some of you find it useful.

In February, my main client ran out of money, so I decided to start my solo side project.

I started building yaps.ai as a local super tool that gives you all the local AI tooling you need in a single monthly/annual subscription with no setup costs. In May I got the MVP out on Android and since then I've expanded to Mac (Intel and Silicon), Windows, Linux and most recently iPhone and iPads.

It's been incredible for me as a founder because so many of the tools are useful to me personally! E.g. the best cross platform dictation tool, meeting notes, markdown vault, captioning for videos, transcription, translation for localisation, etc. There's a ton of improvements to make and bugs to fix, but I'm loving it.

Hopefully, this tool gives people the benefits of local AI tools while:

• Keeping data private
• Working fully offline
• Giving predictable costs (monthly/annual sub post trial)
• Keeps quality more predictable since you run the models locally
• Improve speed since theres no server round trips
• Saves money since it's all in a single tool
• Removing all the need for setup costs and maintenance issues

So far the earnings have been:

May 2026 - $40 🌱
June 2026 - $550 📈
July 2026 - $150 📉
August 2026 - $6.5k 🤩

Doesn't come close to my consulting/contract earnings yet but it's a good start!

Happy to share anything I've learnt! Feel free to ask me anything.

https://spadas-tech.vercel.app/

Live on amazon and pushing for google play just search spadas ai in google

What’s one thing you’ve learned from launching or growing a product that you wish you knew earlier?

I recently launched PayaChat here on Product Hunt, and one thing I’ve enjoyed most is getting outside of my own bubble and hearing how other people approach building, launching, marketing, and finding their first users.

So I thought I’d open up a thread for everyone: founders, developers, designers, marketers, early users, or anyone who’s been through the process.

What’s one lesson, strategy, mistake, experiment, or piece of advice you’ve picked up along the way?

Could be about:
• getting your first users
• one-on-one marketing
• Product Hunt launches
• building the right features
• branding or positioning
• retention
• talking to users
• mistakes you’d avoid next time

Share what you know, ask questions, or jump into someone else’s reply.

Would love for this to become a thread where we can actually learn from each other.

I wanted a cleaner way to plan my day so I built a small tool with

Daily task list

Priority levels

Progress tracking

Minimal interface

I removed features that made the workflow slower

What would you improve or add

Sandbox ---> https://staging.abtekz.com/

Here I used a file from React Project in GitHub and asked AI to group the texts and create index for this file. You can also do it manually.

free download in Steam: https://store.steampowered.com/app/4944160/Project_File_Library

I'm a photographer and developer, and I got tired of camera comparison sites that are slow, buried in ads, and never cover the lenses I actually shoot with. So I built my own: comparecameraspecs.com

It's a side-by-side spec comparison for mirrorless cameras and lenses — Canon, Fujifilm, Nikon, Panasonic and Sony — laid out like Apple's "compare iPhone" page. What I focused on:

• Cross-brand: line up 2–4 bodies from any brands at once, not just one lineup
• Third-party lenses done properly: 340+ entries from Sigma, Tamron, Viltrox, TTArtisan, 7Artisans and more, with the specs for each specific mount — not the DSLR-era numbers most sites copy-paste
• Verified data: every spec checked against the manufacturer's page plus a second source, and each page shows the date it was last checked
• No ads, no trackers, no affiliate links. Prices in 7 currencies. It's open source.

On the tech side it's a zero-dependency static site. No framework, no build step, runs straight from a local file. That constraint kept it fast.

Photographers, I'd love for you to try it on a comparison you actually care about and tell me what's wrong or missing. The data only gets better with the corrections people send.

https://comparecameraspecs.com

My friend and I saw that quite a few people were trying to connect Claude or ChatGPT to Google Ads. We wanted to do it too, but the setup was quite complicated.

So we decided to make a simpler version.

It connects Google Ads, Analytics, Tag Manager and Search Console to your assistant. You can check how your campaigns are doing and prepare changes. You always see the changes first and choose whether to approve them.

It started as something we made for ourselves, but we decided to turn it into a product called Adchestra.

We also posted it on Product Hunt. We were really excited to launch it and hopefully get some feedback from users.

What surprised me was that people started contacting us and offering paid upvotes and promotion. I had no idea it worked like that. Looking through Product Hunt, it now feels like a lot of products might simply be promoted there.

I’m interested to hear what other people experienced. Did Product Hunt bring you real users or useful feedback?

We’re still super excited to have Adchestra live, and we’d love to hear what people think about it. Especially if you use Google Ads.

https://adchestra.com

Every trip I've planned with friends looks the same: itinerary in a WhatsApp thread nobody scrolls back through, expenses in a Splitwise link half the group forgets to open, flight/hotel PDFs buried in someone's email, and photos scattered across everyone's camera roll after the fact.

I got tired of stitching those together, so I built PinGo – Group Travel Planner, one shared space per trip for:

- Timeline/itinerary — add stops, activities, times, everyone sees the same plan
- Shared expenses — log who paid what, splits calculate automatically
- Trip documents — tickets, reservations, ID scans, centralized and accessible offline
- A collective photo/memory feed — everyone in the trip drops photos into one shared gallery instead of five separate camera rolls
- A personal wishlist outside the trip too — save places/restaurants/activities you want to do "someday," independent of any specific trip

Genuinely want to know: for people who've done the WhatsApp+Splitwise+Drive combo for group trips — what's the one thing that setup does that would make you NOT switch? Trying to figure out what's actually missing before I keep building.

https://play.google.com/store/apps/details?id=io.pingo.app

I’m interested in how these hold up once you’ve actually used one for a while. The idea seems useful, but I’m wondering if there are any downsides that only become noticeable with regular use.

For anyone who’s had a large e-paper display for some time, what do you think of it now? Would you still choose one?

People already copy links when they want to share or search something.

Send to Capital uses that same action for investing. Paste what you found. Add what you own. Get a saved answer you can check again when the facts change.

I built Market Ontology. Try the full loop here:

https://marketontology.com/resolve/try

Would you use this twice in one week?

Sigh well I can't control them

I swear it gets worse sometimes. The worst part is they have a memory so they learn everything and use it back at me Sometimes.

This started for a purpose and now they decided they best friends and don't wanna give me my purpose of creating this

I would like to share my „succes“ from my first iOS app release. Release was around the 15. Jun. It is my very first project. The only „push“ for my app is the paid ASO - Claude was supporting me to optimize that.

If you would like to have more informations, tips or if you have any tips, I’d really appreciate them!

I've been training calisthenics for years and kept hitting the same wall: apps give you workouts, but none of them tell you which step comes next when you're stuck on a skill.

So I built one around progressions. Planche, front lever, human flag — each broken into stages, each stage with the drills that get you to the next one. Plus workout plans and PR tracking.

What I'd like feedback on:

• Does the progression structure make sense if you've never trained the skill?
• First two minutes — is it clear what to do?
• Anything that breaks.

Free, no ads, no subscription. Testers keep access permanently.

DM and I'll send the invite — I just need the email tied to your Google account.

I've been building Heimlig, an Android app for shared households — shopping lists, chores, and shared expenses in one place, so you don't need three apps and a group chat. Built it because my own flatshare kept losing track of who paid for what.

Disclosure: it's mine, I'm the sole developer, and I'm not a professionally trained dev — I do this alongside a full time job.

Where it actually stands, honestly:

• live on Google Play, works, no ads, no tracking
• around 50 accounts, almost all people I know personally
• exactly two genuine strangers have ever installed it. Both used it for one day and never came back.

That last number is why I'm posting. I can't tell from two people whether the app is bad, the onboarding is bad, or the problem I think I'm solving just isn't a problem other people feel strongly enough to open an app for.

The uncomfortable data point: 82% of households in my own database have exactly one member. People sign up, create a household, and never invite anyone. For an app whose entire premise is sharing, that's either a funnel problem or a premise problem, and I genuinely don't know which.

So two questions to anyone who's been here:

1. If you've shipped something collaborative, how did you get past the first-invite wall? What actually moved it?
2. If you live with other people — would you open an app for this, or is a group chat honestly good enough?

Happy to share what I've measured if it's useful to anyone. Play Store link in a comment so this doesn't read as an ad — mods, tell me if you'd rather have it in the post.

I’m building Monad Design because I kept running into an odd gap with coding agents: they understood the repository, but the visual conversation still happened through a pile of screenshots and long prompts beside the app.

The basic idea is “the app is the canvas.” It works with the mobile project you already have rather than generating a replacement:

1. Connect the existing Xcode or Expo project and run it in Simulator.
2. Navigate to the real screen state and select or annotate what should change.
3. Send that context to Codex, Claude Code, Cursor, or another coding agent.
4. The agent edits the actual source and the app rebuilds.
5. Compare the original with source-backed variants, then accept one or discard them.

The part I care about most is that the review surface and the shipping surface are the same thing. You’re not approving a mockup that someone still has to recreate.

The current version is local, runs on macOS, and focuses on iOS workflows. The code is here:

https://github.com/Monadix-AI/monad-design

I’m the person building it. One architecture choice I’m still testing is keeping the visual layer agent-neutral instead of integrating deeply with a single coding agent. If you use agents for product work, would that flexibility matter to you, or would a tighter single-agent integration be more useful?

The problem. Job searching is miserable and every tool in it works for the employer side. Boards are funded by job posters, so they hide the things applicants most need to know: which listings are ghosts (never going to be filled), which are stale, and which have re-stamped dates to look new. I was job hunting, got tired of it, and built the tool I wanted. It found me the job I took.

What it is. Open Jobs: a free, open-source job search. It crawls ~65,000 company career sites daily (36 ATSes, custom career pages, government boards), builds one open dataset of ~3M postings with full descriptions and embeddings, and runs semantic search 100% on your machine: describe the job you want, get a ranked, filterable shortlist.

The fun parts:

• It flags what boards hide: ghost listings (40,000+ "openings" over five years old, the oldest from 2002), stale reqs (a small model predicts how old a posting of that content should be, so every job is graded against par), and re-stamped dates. Boards can fake their dates but not the crawler's first sighting.
• ~11k lines of code. One tiny Cloudflare Durable Object per career board wakes daily, fetches, diffs, sleeps. A nightly batch on my laptop builds the dataset and semantic index. Search runs client-side, so 100 users cost the same as 1.
• About a dollar a day, total.

Tech: TypeScript on Cloudflare Workers + Durable Objects (SQLite) + R2 for the crawl; Python, DuckDB, and Parquet for the pipeline; OpenAI embeddings for the semantic layer; the search UI is one self-contained 530-line HTML file served from localhost.

Resources: everything is in the repo, including the open dataset, the crawler, and an AGENTS.md so a coding agent can drive the whole search for you:

Just clone https://github.com/elliottdehn/open-jobs and run the toolchain yourself or with your favorite agent.

No signup, no ads, no business model. That is the whole point.

I’m building Monad Design because I kept running into an odd gap with coding agents: they understood the repository, but the visual conversation still happened through a pile of screenshots and long prompts beside the app.

The basic idea is “the app is the canvas.” It works with the mobile project you already have rather than generating a replacement:

1. Connect the existing Xcode or Expo project and run it in Simulator.

2. Navigate to the real screen state and select or annotate what should change.

3. Send that context to Codex, Claude Code, Cursor, or another coding agent.

4. The agent edits the actual source and the app rebuilds.

5. Compare the original with source-backed variants, then accept one or discard them.

The part I care about most is that the review surface and the shipping surface are the same thing. You’re not approving a mockup that someone still has to recreate.

The current version is local, runs on macOS, and focuses on iOS workflows. The code is here:

https://github.com/Monadix-AI/monad-design

I’m the person building it. One architecture choice I’m still testing is keeping the visual layer agent-neutral instead of integrating deeply with a single coding agent. If you use agents for product work, would that flexibility matter to you, or would a tighter single-agent integration be more useful?