Cache-Pot
AI-native in-memory cache with vector search.
What this is
A Redis-compatible in-memory cache rebuilt for AI agents - adds vector search, semantic caching and a built-in MCP server, run as a single self-hosted binary.
Our one-line summary — not the founder’s tagline.
- How it works
- A Redis-compatible in-memory data store that speaks plain RESP2 so existing Redis clients work unchanged, while adding native vector search, a semantic cache that skips repeat LLM calls for similarly-worded questions, a built-in MCP server so agents like Claude can use it as a tool, and a live web dashboard.
- What's different
- Built specifically for how AI apps and agents use a cache, but ships as one self-contained binary with no extra modules or services.
- Best for
- Developers building AI apps or agents who want caching plus vector search without adding separate infrastructure.
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 15 days
- Last checked
- 7d 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 15d ago on Product Hunt, picking up 8 votes. Today, it's been quiet for 13 days and the price has started to bleed.
Already bleeding a little every day, and it accelerates the longer it stays quiet.
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 8 votes. It also showed up on 1 other board — but didn't place well enough on any of them, so none of them add to the price. Listing on twelve directories is free; placing well on them isn't.
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.
En eski 3 hareket bu listede yok — toplam 15 olay var. 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.
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
Cache-Pot is a Redis-compatible in-memory data store, rebuilt for how AI apps and agents use a cache. Speak plain RESP2, your existing Redis client works untouched. On top: native vector search, a semantic cache (skip repeat LLM calls when a question means the same thing), a built-in MCP server so agents like Claude use it as a first-class tool, and a live web dashboard. All in one self-contained binary, no modules, no extra services.
Where it launched
2 platformsThe 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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