AIOProductOS
The product system for SaaS team. One spine for your product
Hey IH — Bogdan here. I got tired of running product on 8 tools that don't share a record: feedback in one, the roadmap in another, revenue in a third, the codebase near none of them. So "what do we build next, and did it actually work?" always came down to whoever argued loudest.
So I built the opposite — AIOProductOS: one customer record where the feedback, the feature you ship for it, the revenue it moves, and the code/deploy all join. On top of it there's an MCP server, so you can point your own AI host — Claude, ChatGPT, Cursor, Codex, Windsurf, Cline — at the joined graph and ask "which paying customers are blocked on open features?" and get an answer from the data, not from one tool's slice.
Try it read-only, no signup: aioproductos.com → "Browse the live demo" (there's a "skip" link).
Honest about what it's not: it won't beat Linear on sprint feel or Amplitude on analytics depth — the bet is the join, not out-featuring any single tool. Flat $199/$399/$899, no per-seat, no AI credit meter, 30-day money-back, no free tier — happy to be grilled on all of that.
Where does "one record" break for your workflow? Brutal feedback welcome.
3 Comments
The MCP angle here is really smart - most teams have the data scattered, but none of them move it into an LLM-friendly format for agentic queries. Asking Claude "which paying customers block our top revenue drivers" works only if you can actually join the signals. The flat pricing + no per-seat is exactly right for a data layer. How are you thinking about historical data migration - is onboarding users stuck with fresh-start analytics or do you have patterns for backfilling from existing tools?
Right on the join - that's the whole game, which is exactly why fresh-start would defeat the point. So no, not fresh-start. Two paths, depending on the tool.
Structured history (board items, feedback, roadmap) comes over through one-shot importers: paste a token or drop a CSV and we drain your history out of Linear, Jira, Asana, ClickUp, Monday, Shortcut, Trello and Notion into the board, and Productboard/Canny into insights. Every imported row carries a provenance key, so it's idempotent - a re-run updates instead of duplicating, and a migration isn't a one-way door you have to nail on the first pass.
Analytics and systems-of-record run through live connectors that backfill a window on connect and then keep syncing - PostHog/Mixpanel/Amplitude for events, billing connectors that re-pull the whole customer book. I'll be straight that event backfill is a bounded window, not all-time: deep enough to seed real cohorts and funnels, not your entire history back to day zero.
The part that matters for the query you described: the backfill lands already joined onto the customer record, not in a parallel silo. The same provenance keys and identity stitching that de-dupe a live sync de-dupe the import too - so the day after you migrate, "which paying customers block our top revenue drivers" resolves across the imported feedback and the billing data together, instead of two datasets you still have to reconcile yourself.
What are you coming from? Happy to get specific about that stack.
The real shift here isn’t unifying tools—it’s unifying decision context.
Most systems already store feedback, revenue, and shipping data. The gap is that none of them connect those signals into a single causal thread that answers “what should we build next, and why did it matter.”
The value isn’t the record layer—it’s making product decisions traceable back to real customer impact.