Full disclosure, this is mine. Cognometrist reads your own course notes, slides, or papers and turns them into a personalized curriculum. It builds a concept and prerequisite graph from your material, runs a diagnostic exam to find the specific concept you are missing, and will not teach something until its prerequisites are proven. Every lesson and every graded answer cites back to the exact line in your source material, so it is grounded in your syllabus rather than general model knowledge. Spaced repetition resurfaces mastered concepts before you would forget them.

Link: https://cognometrist.com - free to start, 3 study days, no card required.

Hey product hunt community

I wanted to start a discussion around multi-platform social distribution.

After spending the past year building digital products with AI, I realized I wasn't struggling to generate ideas.

A decade in B2B SaaS taught me one thing: revenue, finance, and ops teams all run off slightly different numbers, and everyone spends half their week reconciling and the other half arguing about whose source of truth is right.
So, I built Gohvio, a platform that handles the full path, from ingestion and cleaning through transformation, masking, and visualization, so the people inside your company who actually work with data can stop playing detective and start deciding.
What it is: a single, clean data layer that connects CRMs, finance tools, and ops systems so revenue, finance, and ops teams stop arguing over whose numbers are right. Not a Databricks or Fabric replacement. A layer above them, built for mid-market teams those platforms were never designed for.
Where I'm at:

• Launched publicly April 13

• 6 beta testers

• Website traffic 12 to 52 visitors in 4 days

Not looking for upvotes. Looking for honest feedback and beta testers who actually have this problem.

• Beta signup: gohvio.io

• Roast the positioning, tell me what's missing. All welcome.

We're getting comfortable letting agents read everything - inbox, calendar, docs, etc. But letting one actually pay for something feels like a different line to cross.
Curious where Product Hunt people draw it :)

• Would you let an agent pay for things autonomously?

• What kind of things/services would you actually trust it to buy?

• What would you never let it pay for?
  I started thinking about it as we've just launched something in exactly this space - our self-service translation platform Nitro now lets an AI agent order and pay for a human translation on its own.
  Nitro has been around for a long while, but this time the new feature is very unusual, and we are curious how it will land.
  https://nitrotranslate.com/trans...

Hey everyone! I'm Emily from the AssetLoom team

I am so happy to join the fam here, and even happier to have a chance to launch AssetLoom on PH (https://www.producthunt.com/prod...) (thank you PH, this is really awesome).

Six months ago I started building KOECALL.ai with one goal: give elderly and isolated people a friendly voice to talk to, reachable with a simple phone call. No app, no screen, no setup for the elderly user. Just call a number and talk.

Here's how it works today for the elderly use case:

• The elderly user always initiates the call we never call them (no spam, no anxiety)

• Powered by GPT-4o Realtime API for natural, low-latency voice conversation

• Available in Italy (Isabella), France (Denise), UK (Sonia), and USA (Jenny)

• A caregiver registers via web and sets up the service the elderly person just needs to remember one phone number

• Subscription tiers from 7/month to 54.90/month

But here's what I didn't expect:

Earlier this year I found myself job hunting again after 8+ years in product, most recently as a Product Owner in UK banking.

A job hunt gives you almost no feedback. You apply, nothing comes back, and you are left guessing whether the role was never a fit, the application was weak, or the ad was never real. With nothing to go on, everyone reaches for the same two moves: rewrite the CV, or apply to more jobs.

I did both, for months. Neither was the problem.

WorkstationAI is a workspace for running the whole hunt, and last week I shipped the part that closes the loop.

We're live and we'd love your feedback!

Rindler turns any website into something an agent can operate on reliably. It drives a real browser: signs in, handles the one time verification code, gets to the right screen, pulls the records or fills the form, and hands back structured output in the shape you asked for.

The part worth caring about is the second run. Most browser agents re-read and re-work out the same website on every single visit. Rindler remembers, so it gets faster and cheaper the more it is used. And when a site changes underneath us, that is ours to fix, not a ticket in your backlog.

If you build agents, it's just one endpoint you call instead of running browser infrastructure of your own. If you run a team, it is the manual and repetitive website work somebody on your staff is currently doing by hand.