ARA
Give AI systems a memory of every decision they make
What this is
Records every decision an ML model makes with the exact inputs and context so it can be replayed and debugged later, self-hostable with a free community edition.
Our one-line summary — not the founder’s tagline.
- How it works
- Records the exact state that produced each model decision, allowing replay months later; supports incident debugging as a query, per-entity drift tracking, and training data joins without label leakage.
- Pricing
- Free Community Edition; runs on your own infrastructure.
- Best for
- ML teams needing to audit or debug model decisions after the fact.
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 11 days
- Last checked
- 5d ago
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
AI. Launched 11d ago on Product Hunt, picking up 40 votes. Today, the site itself changed 6d ago — evidence it's still shipping, not just announcing.
Quiet for 5 days — no penalty yet, but quiet doesn't stay free.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It launched on Product Hunt with 40 votes.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
1 quiet day in between are left out — nothing happened on them. A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
Daily tracking just started for this launch — the first point is on the board. A second reading lands with tomorrow's run, and the curve builds from there.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
AI systems make decisions, then forget everything: the exact inputs, the model version, the context. ARA is an infrastructure layer that records every decision your ML models make with the exact state that produced it, and can replay any of them months later. Incident debugging becomes a query. Drift shows up per entity. Training data joins without label leakage. Free Community Edition, runs entirely on your own infrastructure in under 10 minutes. SDKs on PyPI and Maven Central.
Where it launched
1 platform| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| Product Hunt | 40 | sets the price | ↗ |
The board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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