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17,045 products · 82,562 snapshots
TheySaid 4.0

TheySaid 4.0

Strong signal

See how users will react, right where you build.

Launched 16d ago
Signal
76
Velocity
1

What this means

90.5×Growing 90.5× faster than the typical Design Tools launch.
Compared to 89 Design Tools launches at the same age.
Decaying
Vote pace down to 2% of launch speed.
+100%Launching in a 100% WoW growing category.
UX Design had 3 launches this week vs 0 last.
60%Strong buyer-intent signal in the discussion.
60% of commenters sound like potential buyers — mostly founders.
70%Comment sentiment overwhelmingly positive.
Audience strongly receptive — founders engaged.
Users are asking for custom audience tuning + metrics for accuracy.
Feature requests surfaced from the comment thread.
Recurring concerns: quality of synthetic feedback, accuracy of simulations.
Pain points raised more than once by different people.

Prediction

Top-5 finish probability
26%
today
Projected end-of-day votes
368range 276–497
Trajectory
decaying
Vote pace down to 2% of launch speed.
Speed vs peers
90.5×
89 Design Tools launches

About

Put what you’re building in front of real customers or synthetic users trained on them when you need an answer in minutes without leaving Claude, Cursor, or Jira. Nothing ships on a guess.

AI Summary

TheySaid 4.0 allows developers to test their products with real or synthetic users to gather feedback quickly within platforms like Claude, Cursor, or Jira. This tool aims to enhance user experience by providing insights before finalizing designs.

Attention & discussion velocity

Performance

Velocity1
Vote pace vs average
Momentum1
Sustained over 6h
Virality8
Spread × engagement
Engagement52
Discussion per unit of attention

Signal sources

3 of 6 active
  • Launch tracking9 readings since we picked it up
  • AI analysisDesign Tools
  • Comment intelligencethread analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoringbelow the signal threshold for this pass

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Jaala Seifipour
Jaala Seifipour
@jaala_seifipour
rep 67
Chris Hicken
Chris Hicken
@chrishicken
rep 67
Lihong Hicken
Lihong Hicken
@lihong_hicken
rep 67
Arnab K
Arnab K
@arnab_karmakar1
rep 67
Ben Lang
@benln · hunter

Topics

Artificial IntelligenceUX DesignUser Experience

Comment Intelligence· 21 comments analysed

Sentiment

Positive70%
Neutral20%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
founders
Sentiment over 16 days
Positive
Negative
Buyer intent
Overall vibe

Overall, commenters express enthusiasm for the product while raising questions about the accuracy and quality of synthetic feedback.

Top themes
  • synthetic users
  • validation debt
  • feedback quality
  • AI integration
  • user testing
Feature requests
  • custom audience tuning
  • metrics for accuracy
  • integration with tools
  • real-time feedback
  • differentiation of user feedback
Complaints
  • quality of synthetic feedback
  • accuracy of simulations
  • potential bias in responses
  • validation process
  • user engagement

Top comments

[REDACTED]
↑ 12

I’m Chris, co-founder of TheySaid. Years ago I built the original UserTesting, so I’ve spent most of my career helping teams watch real people use their products. Here’s what changed: your team now ships more decisions than ever (designs, tickets, PRs), but checking them with customers still means scheduling, recruiting, and waiting. So it gets skipped. We call the result Validation Debt: the cost of decisions you shipped without customer evidence. TheySaid 4.0 lets you see how users will react, right where you build. Ask from Claude Design, v0, Replit, Bolt or Lovable, or have it run automatically when a Jira, Linear, ClickUp or Monday ticket finishes design. Then watch real people or synthetic users try what you just made. What’s new: Synthetic users: that actually use your product, on screen and out loud. Each starts from a model trained on 100,000+ hours of real usability sessions, then is tuned to your customers with the data you choose: call recordings, surveys, support tickets, CRM. Audiences: define your real and synthetic customer groups once, and anyone in your org can reuse them. MCP + Ticket Testing: feedback and a fix-it prompt inside your build tools, plus validation that triggers itself when design is done. No one has to remember to ask. AI Companion: tell it what you need, and it does the work. Experience Hub: always-on scoring of your critical customer experiences, with what to fix next. Skills: reusable prompts for summaries, cohort analysis, and reports. Build it once. Run it forever. Plus mobile app testing, clips and highlight reels, screeners, response quality monitoring, a unified test builder, a redesigned UI, and more. Stop shipping decisions nobody validated. 🚫 Try 4.0 FREE → https://www.theysaid.io/v4 And tell me: when you build with AI today, how do you find out whether customers get it? Or do you skip that step?

[REDACTED]
↑ 6

Congrats team! Speed ia great but i do have a question about the quality of decisions based on synthetic feedback. How do you know how accurate it is? can we compare with actual results?

[REDACTED]
↑ 3

Validation debt is a painfully good name for what happens when teams skip talking to users. Nice launch @chrishicken & team!

[REDACTED]
↑ 3

saw in the reviews that the voice mode gets people way more honest than a form, makes sense. how close do the synthetic users get to the real customers they’re trained on?

Sentiment computed via openrouter