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Product intelligence
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Ask what to build next. Annsa answers.

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Catherine
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Ready 49Building 3Shipped 5Shared 3
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1
Lost work after the app crashes
14 signals · 6 accountsBugRising
2
Search can't find recent files
9 signals · 4 accountsImprovementRising
3
Add a dark mode
7 signals · 3 accountsFeatureEmerging
4
Export to CSV
5 signals · 2 accountsFeatureEmerging
5
Too many email notifications
4 signals · 2 accountsImprovementEmerging
#1 in User Growth✕
Lost work after the app crashes
14 signals · 6 accounts · Bug · $48k ARR
#001-V1Ready
BriefConversations
What to Build

Unsaved changes vanish when the app crashes. Auto-save as people work so nothing is lost, and restore the last session on reopen.

Why It Matters

6 accounts have hit this. Losing work is the fastest way to lose trust — $48k ARR is exposed.

SIGNAL INANNSA REMEMBERSANSWER OUTA ranked priority, a spec, a shipped answer.

The hard part is knowing what matters.

Customers are already saying what they need — in calls, Slack, support, sales, interviews and surveys. Annsa turns those feature requests into traceable product evidence.

CUSTOMER FEEDBACK EVIDENCENo mystery scoring. No “AI said so.”
12 signalsspec readyfollow-up drafted
Every recommendation connects back to the source signals, customer accounts, feature requests and product evidence behind it.

A system for product discovery, delivery and intelligence.

Twelve Annsa features, each strung on a wire between a signal-in dot and an answer-out dot
DISCOVERYUnderstand what customers are asking for.Explore Discovery →DELIVERYTurn roadmap priorities into specs.Explore Delivery →INTELLIGENCELearn from decisions and shipped work.Explore Intelligence →

When work ships, Annsa knows who asked.

ANSWER OUT“We shipped the update you asked for.”A customer-safe follow-up is drafted from the same evidence trail.

Product memory behind every answer.

Behind every Annsa feature is the product intelligence graph — a connected record of every customer who asked, every signal they sent, every priority it shaped, every spec it produced and every outcome that shipped. Every release sharpens the graph.

How autonomous product intelligence works →
Product intelligence graphLive · 1,569 nodes
CUSTOMEREvery account that ever asked.
SIGNALWhat they sent, across every channel.
PRIORITYWhat it shaped, ranked by impact.
SPECWhat it produced, grounded in the repo.
OUTCOMEWhat shipped — traced back to who asked.

Built for intelligence-led product teams.

For teams close to customers, moving quickly, and trying to turn customer feedback into product decisions without losing context.

FOUNDERSMore customer signal than one head can hold — held, ranked and remembered.FIRST PRODUCT HIREMessy requests become priorities the whole team can trust.CUSTOMER-LED TEAMSCustomer context reaches delivery — instead of disappearing after discovery.

Connect the tools where product work already happens.

Slack brings in the day-to-day customer signal.
GitHub connects product decisions to shipped work.
Cursor and Claude Code turn specs into builder-ready context.
Customer follow-up carries the answer back out.
All integrations →

Start free. Scale as the product grows.

See pricing →

The product intelligence thesis.

FEATURED THESISWhat Product Intelligence BecomesWhere product intelligence is heading — and why Annsa is built for what comes next.Read the thesis →

AI is moving from assistant to system. Annsa is building for the next question: what is product intelligence when it can remember, reason and act?

All writing →

Give every product signal somewhere useful to go.

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