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  • Beyond the launch
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  • Content Desk
  • Editorial QA
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Lab
  • Metric Bench
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Yours
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5,453 products · 25,517 snapshots
DSH Desktop

DSH Desktop

Strong signal

Official app for DeepSeek’s open-source agent harness

Launched 9h ago
Signal
66
Velocity
0

What this means

40×Growing 40× faster than the typical comparable launch.
Compared to 5 comparable launches at the same age.
35%Mid-tier finish likely.
Projecting attention of 120 by end of day-1.
Low discussion activity despite the attention.
Audience is voting but not engaging — could signal weak product-market fit.

Prediction

Top-5 finish probability
35%
today
Projected end-of-day votes
120range 90–162
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
40×
5 comparable launches

About

DeepSeek Harness Desktop is the official Mac and Windows app for DeepSeek’s open-source agent harness. Install it, sign in, and run everyday work, coding, and scheduled tasks locally with the same plugin system as the CLI.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement8
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.
115/8
Timeliness5%100
carried 7%
Business15%35
carried 20%
Trend20%30
carried 27%
Novelty15%3
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

2 of 6 active
  • Launch tracking2 readings since we picked it up
  • AI analysisnot yet enriched
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring23% evidence coverage

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

Zac Zuo
@zaczuo · hunter

Topics

Artificial IntelligenceProductivityOpen Source