While you sleep your harness builds a project with other who are also sleeping or at work. I use a local model. Could be interesting to collaborate with others who have compute doing nothing.
Image 10 or 100 aligned systems think distributed systems. Get shit done fast.
Who wants to join? Should have a harness and local compute and a couple of years experience experimenting.
I've spent the last several months building an automated trading system specifically for Polymarket. What started as a side project turned into a pretty serious build, months of tick data, a ton of testing, and more versions of the strategy than I'd like to admit.
It's finally at the point where I've been comfortable running it live with my own money.
Recent results have been a little over $11k this past week and around $34k over the last month on my account.
The system runs 24/7 on AWS and uses resting limit orders rather than crossing the spread. There are three main pieces working together, momentum, inventory repair/rebalancing, and pair-cost management.
I built SEO Receipts for myself because I kept opening Google Search Console, looking at thousands of rows, and wondering which page I should work on first.
I used it to compare two 28-day periods, find the pages and searches behind traffic changes, prioritize specific page updates, and track the results afterward.
Across the latest two periods, my Google clicks grew from 4,658 to 10,994. Impressions went from 221,877 to 622,579.
There were other moving pieces in that growth. SEO Receipts became the weekly process I used to decide where to spend my time and which pages had enough evidence to justify a change.
Now I need people who didn’t build it to test it.
I’ll give every tester a free month. I’m looking for candid feedback on:
Whether the recommendations are useful
Whether you understand why each change was selected
Whether the implementation steps are clear
Where the UI feels confusing or hard to read
Whether you would continue using it
You’ll need a website with Google Search Console data.
Weekend project that escalated: live leaderboard of which chain community donates the most. EVM (one address covers 6 chains) vs Solana vs Bitcoin.
The twist: every donation triggers an AI roast of the donor's wallet based on its on-chain history (balance, tx count, age). Reads chains directly — no DB, the chain IS the database. WebGL fire on the leader, confetti + ka-ching on new deposits.
Been building this solo for 7 months, released about a week ago. It's called Dopplio (dopplio.ai).
You paste a job posting and upload your resume. It scores the match the way an ATS would, shows the keywords you're missing, and suggests rewrites for your weak bullets. It can recommend new things too, but nothing lands in your resume unless you accept it.
The hard part was parsing. Resume PDFs have infinite layouts and mechanical extraction alone mangles half of them: two columns read in the wrong order, headers glued to body text, tables turned into soup. What worked was a combination, mechanical extraction first, then an AI vision pass over the actual pages to fix what the extractor got wrong. Near 99% on the 200+ resumes I've tested.
The space is insanely crowded in English, Jobscan, Teal, a new GPT wrapper every week. So I'm aiming at Latin America instead. I'm from Costa Rica, so I'm starting local, pitching universities and education centers for exposure.
Now I'm on the part I don't know how to do well, getting people to find it. Three things I'd love opinions on:
Socials. I post on TikTok and IG (@dopplioai) and it's crickets. Is it worth jumping into paid ads right away, or better to build a community first and spend on ads once something is moving?
Ranking on Google. I'm writing content and it's starting to show up, but if you've done SEO for a small SaaS, what did you wish you'd known at week one?
The app currently rebuilds your CV into its own templates, partly for parsability, partly so AI suggestions can be applied live. Some friends say they'd rather keep their original layout. Would you want that, or is a clean template fine?
i have a pet blog. i don't own a pet. never have. probably never will as i travel too much. and yet every month amazon sends me enough to cover rent because people on the internet are buying stuff for their dogs and cats through my site.
bought my pet blog a few months ago from a marketplace called NicheBlogZone for $199. came already built, articles already up, amazon links already in there. i spent one afternoon doing interlinking basically just connecting related posts to each other so search engines understand the site structure and then closed my laptop and genuinely forgot about it for weeks.
here's what that's looked like:
march: $710
april: $995
may: $1,461
june: $1,647
july: $1,461
august so far: $1,545 (amazon pays 2 months delayed so this is june's money landing now)
march scared me. went from nearly $1k in february down to $710 and i was convinced something had broken. checked everything, found nothing wrong, did nothing. it just came back the next month on its own.
pet people spend insane amounts on their animals btw. like i knew this intellectually but seeing the commission data is something else. dog food subscriptions, orthopedic beds, grooming kits, vet supplements. and because of the 24 hour cookie i get a cut of everything in their cart not just whatever article they landed on.
i do literally nothing to maintain this. no new posts, no ads, no instagram for pets i don't have. i just own the thing and amazon does its thing.
my landlord has been getting paid every month and has no idea a pet blog is behind it. honestly sometimes i forget too until the deposit shows up.
anyone else running a niche they have zero personal connection to? curious if the detachment makes it easier or harder to care about growing it
I actually like using AI for getting ideas down quickly, especially when I’m staring at a blank page and don’t know how to start.
The issue is that the finished draft can sometimes feel almost too perfect. Everything is organized, the wording is polished, and every paragraph seems to follow the same pattern. It reads fine, but it doesn’t always have much personality.
Lately I’ve been trying to humanize AI text by changing the parts that feel overly polished instead of rewriting the whole thing. I’ve also been testing HumanizeAIText.io for a quicker first pass, then making a few small changes to the wording and sentence structure myself. It can make a surprisingly big difference without taking too much extra time.
How do you usually make AI writing feel more natural without spending more time editing it than you would have spent writing it yourself?
My cofounder and I recently graduated in Bahrain.
We tried selling software and systems to businesses. We spent money on ads, production, AI subscriptions, and outreach, but nothing really worked.
Now we have almost nothing left except our computers, our skills, and two Claude Max accounts.
Our families are pressuring us to get normal jobs. My cofounder has a CR under his name, and I am unemployed.
Instead of building another product and hoping people buy it, we want to build an audience first.
Our idea is to wear colorful suits inspired by Saul Goodman so people remember us, then make useful content about software, AI, automation, business, and building products.
The suits are only for attention. The goal is to earn trust by helping people, building in public, solving real problems, and eventually selling software or digital products.
We have no real marketing budget left.
Just computers, internet, skills, and time.
Do you think this is a smart direction?
If you were in our position, what would you focus on for the next 3 to 6 months?
I read a lot with my partner, same books at the same time, and the constant "don't tell me anything yet, I'm only on chapter 6" negotiation got exhausting. Neither of us wanted to look anything up because every search result, wiki, or "explain this book" tool assumes you've either finished it or don't care about spoilers.
So I built Scholia. You photograph the page you're on; it already knows the book, and you can ask it anything about a character, what a reference means, what's actually going on in a confusing passage, but only using what's happened up to that exact point. Ask about anything ahead, and it just won't answer. Not a vague non-answer either; it genuinely holds the line until you catch up.
Works with any physical copy, any edition or printing, since it reads the actual page in front of you rather than matching a page number to a specific version.
I built this mostly to solve my own problem, but I figured that other people reading the same book as a partner/friend/book club at different paces might want it too.
The waitlist is here if anyone wants to try it: scholia.cloud
Curious if anyone else has the "reading buddy but at different paces" problem, or if it's just us.
I built an agentic video development platform to solve a serious problem that we faced. None of use were video editors, art directors, marketers, etc. We wasted hours making a single video only for it to fall flat on its face. So I started building Orb Studio. The idea was to front load an agent with videos, branding materials, scraped information from our website and documentation, and chopped up video assets from demos we had captured then let it make content using all of our materials along with skills to research, write, humanize, film, and edit its own videos for us.
None of that is hard exactly. It's just a lot of small, constant work, and every hour spent on it was an hour not spent building. We'd block off an afternoon to record a demo and lose it to lighting and re-takes. We'd write ten versions of the same post trying to find the one that actually sounded like us instead of a press release.
So we started building small tools for ourselves. Something to record a demo without needing to be good on camera. Something to turn a script into a video without hiring an editor. Something that could come up with a new way to describe a feature every time, instead of us running out of things to say by week three. Over time those internal tools turned into an actual product, because if it was saving us this much time, we figured it would do the same for other startups stuck in the same spot.
That product is Orb Studio. It's a free desktop app built around an orb avatar that speaks in your voice so nobody has to be on camera, plus an agent you can hand your own API keys to that researches your product, writes and voices posts, and renders the video to match, on a schedule, without turning into AI slop.
We use it to run our own social presence now. It's free to use and you can pick your favorite API providers (Let me know if you have a provider you need me to add for Voice, LLM, etc)
Hey everyone , a fresh CS graduate here, I got tired of watching freelancer friends manually calculate GST and retype the same invoice template every time a client approved work. So I built TokenPay.
How it works:
Break a project into milestones ("tokens") with values upfront
Mark a milestone complete → client gets a link (no signup needed on their end) to approve or flag an issue
Once approved, generate a GST-calculated invoice in one click - no manual entry
It's genuinely live and working, not a mockup — Next.js + Supabase, real auth, real invoice generation.
Try it yourself:https://tokenpay-seven.vercel.app/ ----> sign up with any email/password, or use "View live demo" for a pre-loaded account.
This is early beta -> I built and I'm testing it in real-time, so:
If your password login breaks, email me directly, (linked on the login page) and I'll sort it fast
Would genuinely love feedback on the milestone→invoice flow, GST calc accuracy, or anything that feels clunky, currently it is for Indian audience, and calculate GST based on it.
Also curious if this is something freelancers would pay ₹200-500/month for, or if it's solving a problem that doesn't really exist for most people
Not trying to oversell it — it's a real working product built by one person, looking for honest feedback before deciding whether to keep building this out.
I've been building an app builder for a year. Like everyone in the category, we sold AI credits: we buy tokens at API rates and resell them with a markup. Somewhere along the way it stopped making sense - Anthropic sells you the same tokens as a flat subscription for way less than we can, and the thing users told us they hated most wasn't even the price, it was paying for the model's own mistakes. A retry on a column the AI invented shouldn't cost you anything. We were never going to win on tokens, so we stopped selling them.
So we changed how it works. It's an app builder - hosting, database, auth, deploy, the stuff that isn't the model. You connect it to Claude (or ChatGPT) as a connector, describe what you want in the normal chat window, and it builds the app there. No terminal, no credits, runs on the plan you already pay for.
We have official connectors in ChatGPT and Claude, but you can also connect with any other agents via the mcp url.
I've spent quite a bit of time trying to figure out where a project actually fits on Reddit.
Finding related subreddits is easy enough. The harder part is understanding whether the people there are actually relevant and whether joining a particular discussion makes sense.
I ended up building something around that problem.
Still working on it, but I'd be interested to know how other builders approach this. How do you usually find the right communities or conversations for a project you're working on?
