Hi everyone, I launched ChairProof on Product Hunt today!
I made it because I spend way too much time sitting at my desk. When I'm really focused on work, I completely lose track of time and sometimes realize I haven't moved in hours.
I knew I needed to get up more often, walk around, and stretch a little, so I started setting reminders. The problem was that I'd just dismiss them and keep working. Sometimes I'd even tell myself I'd get up in a minute, and then another hour would go by.
Hi, I m Aishwarya, co-founder of EduShaale. When we built our Digital SAT Score Analyzer, we had to decide what a student should see first after a mock test. Is it more useful to show the topic where they scored lowest, or give them one concrete thing to practise tomorrow?
Take a student who answers two punctuation questions quickly and gets both wrong. A report could say, Punctuation is your weakest topic. But two questions aren t enough to know whether the student misunderstood a rule or rushed. Another option is to say, Try five similar questions without a timer and explain the rule behind each answer. That gives the student a next step without overstating what the results tell us.
I d put the practice task first and show the evidence underneath. But I can also see why a student might want to understand the result before trusting the recommendation.
If you ve built or used a learning tool, which would you put first, and how would you show that a recommendation is based on limited data?
Launching Monday 7/27 NTS, a workspace for solo operators (tasks, clients, invoices) with one unusual mechanic: finished work builds visible momentum. Current tagline: "The solo-operator workspace that turns work into momentum." Two alternates I keep circling: "Tasks, clients & invoices that build momentum as you work" / "Turn your real work into momentum." Does the first one earn its 57 characters, or is there a sharper cut? Happy to return the favor on yours. It's live if you want to poke around
The I m not a robot checkbox doesn t really check anything, and bots now run real browsers. At the same time, more people are sending AI agents to shop and fill in forms for them.
Paul Graham said some startups will filter agents out and others will welcome them in. That fork is already here.
A few of us built a hackathon project around this and placed 3rd. I wrote up the problem in plain language, with stickman drawings: blog
I m building NearCart to make nearby weekly grocery offers easier to search and compare, starting with Al Nahda, Sharjah. The product is still in preparation, and the preview currently uses illustrative offers rather than live listings. I m gathering early-access interest and feedback on which details matter most when comparing grocery offers. If you shop in Al Nahda, what would you want to see first? Follow the project and join the early-access list at https://near-cart.com. This is a pre-launch update; the product launch will come later.
I built TokenSafe after a $400 monthly API bill made me check what my coding agents were sending on every turn.
For a 10-line edit, the model was pulling 2,000 lines of unrelated code and lockfiles.
When other engineering teams started testing it with Cursor and Claude Code, the bill turned out to be the smaller problem. Drowned in context noise, agents forgot imports and looped on the same broken fix.
Prompt rules in .cursorrules wore off deep into a session too. Agents still tried to hardcode credential fallbacks, disable TLS checks (verify=False), pass raw SQL strings, or run git add . with .env files in the repo.
Hi everyone I run OpenBio, a free link-in-bio tool at https://openbio.io.vn
The problem
Creators, small shops, and small brands usually have links scattered everywhere: a shop here, a social profile there, a video, a form somewhere else. And when a brand asks for a media kit, that means putting together yet another page or document just to share stats and rates. The tools that solve this often charge for the basics, too.
