Forsyt now has a store. Bring your idea and build a Micro SaaS with us, from PRD to launch.
Open the Micro SaaS StoreForsyt surfaces product feedback, feature requests, and competitive mentions buried in sales conversations, so Product teams build what customers actually need.

mined for feature requests + objections
by revenue impact, not just mention count
competitive intelligence on every deal
analysis synthesized from full journey
Feature requests lost in Slack threads and call notes
No systematic way to capture competitive intelligence from sales
Disconnect between what customers say and what Product builds
Relying on Sales anecdotes instead of aggregated data
Automatically capture product feedback from sales calls and customer conversations.
See which competitors come up in deals and what prospects say about them.
Surface the most-requested features from real customer conversations, ranked by revenue impact.
Understand why deals are won or lost with data from the entire customer journey.
Digest: top 5 feature requests, each weighted by the ARR of accounts that asked for it.
Competitive battlecards update automatically based on what prospects actually say on calls.
100% loss deals analysed with AI summarization, no more one-off interviews.
Priorities defended with data: "this feature maps to $2.4M in open pipeline."
Works with your existing stack




Only aggregated signals, not individual rep performance. Signal-based insights only.
AI clusters similar requests and maintains a canonical list, with source-backed evidence.
Yes, one-click export to Linear, Jira, or Productboard.
"It bridges the gap between data and execution."
Chaitanya Kakkar
VP - Business & International Expansion, SingleInterface
Other roles we serve
Try the interactive sandbox, or book a 30-minute personalized demo with your pipeline data.