DataPlay
DATAPLAY FOR VCS & STUDIOS

A market baseline per decision.
Source-cited evidence for the next review.

Public products generate useful evidence across search demand, reviews, forums, competitor changes, and AI answers. DataPlay organizes that evidence around the customer problems relevant to a deal or portfolio question. Use it as an external input to diligence, then save the findings worth revisiting as persistent research areas.

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Self-serve product and fixed-scope research support available.

THE WORKFLOW

Turn scattered public evidence into a reusable market baseline.

6 WEEKS

The way it's done now

  1. Week 1Find the right people to talk to. Cold-DM customers and ex-employees.
  2. Week 2Schedule and run 6 to 12 customer calls. Take messy notes.
  3. Week 3Comb Reddit, Stack Overflow, GitHub issues, G2. Tab management hell.
  4. Weeks 4 to 5Synthesize into a memo. Lose half the nuance in the compression.
  5. Week 6Present. Deal moves on or dies. Findings rot the moment you ship the memo.
SOURCE-CITED EXTERNAL RESEARCH

The way it's done with DataPlay

  1. 1Define the target market and the decision the research should inform.
  2. 2Discover recurring customer problems in the market with evidence attached.
  3. 3Compare search demand, public discussions, competitor context, and AI visibility.
  4. 4Pull source-cited findings and open questions into the diligence memo.
  5. 5Select the findings worth refreshing at the next review and save them as research areas.

Estimates. Real diligence still demands judgment, calls, and an IC. DataPlay does the part that's mechanical: collecting, deduping, clustering, and grounding the public signal so a human can spend their hour on the part that matters.

HISTORICAL EVIDENCE

Public evidence can reveal a market shift before it reaches the summary slide.

Three illustrative cases showing how a focused research pass across earlier public evidence could have surfaced the underlying signal before the final event.

A SaaS portco renewal cliff
By the time CS flagged it on the QBR, the workaround pattern had been in the public signal for over three months.
Workaround pattern detected
−14 wk
Trend ↑ on "export limits"
−9 wk
Critical intensity tag
−5 wk
Renewal churn spike
T+0
Lead time
−14 weeks
A devtools target's pivot
We saw the gravitational pull of the new wedge in the evidence months before the team articulated it.
Founder-mention trend ↑
−18 wk
Feature gap clusters
−12 wk
Competitive substitution
−6 wk
Public pivot announcement
T+0
Lead time
−18 weeks
A buyout target's hidden moat
Quiet products leak quiet signal. The right surface makes it loud enough to size a check.
Sticky workflow citations
−22 wk
Active-use card density 2× peers
−15 wk
Low-intensity, high-reach pattern
−7 wk
Strategic deal unlock
T+0
Lead time
−22 weeks

Illustrative. These examples show retrospective research patterns, not autonomous monitoring or a customer commitment.

COVERAGE

Built for breadth. Designed to be defensible.

Products you can spin up
Any public-facing one
SaaS, devtools, fintech, infra, marketplaces
Sources we fetch in full
Multiple public source types
Reddit · HN · SO · GH · G2 · reviews · forums · changelogs · docs · earnings · DOJ · press
Research scope
Deal · market · product
organize public evidence around one explicit decision
AI-answer visibility
Recommendation coverage
inspect which products appear in AI answers for the category question
Evidence model
Source-cited
open the supporting evidence and its confidence label
Export targets
MCP · Markdown · CSV · print · share link
research escapes the app
ALSO FOR
Founders
Validate the market before you commit a quarter.
Product managers
Ship the right thing next. Validate it after.
PM teams
One surface. The whole team's mind.
Get started

Create a source-cited baseline for the next market question.

Start self-serve, or scope one platform-backed briefing and convert the findings worth revisiting into DataPlay research areas.

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