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7,165 products · 34,067 snapshots
Databench by Alkera

Databench by Alkera

Strong signal

Open-source collaborative agentic workspace for data teams

Launched 18h ago
Signal
79
Velocity
0

What this means

49%Mid-tier finish likely.
Projecting attention of 246 by end of day-1.
+300%Launching in a 300% WoW growing category.
Data Science had 4 launches this week vs 1 last.

Prediction

Top-5 finish probability
49%
today
Projected end-of-day votes
246range 185–332
Trajectory
stable
Vote pace holding steady.

About

Databench by Alkera is the open-source, multiplayer workspace for data science, analytics, and engineering. Collaborate live alongside teammates and agents in notebooks and chats, run any cell or agent on your laptop, another computer, or a GPU node and launch many agents in parallel to explore ideas. Every result traces back to the data and code behind it. Try it at https://alkera.ai with a generous free tier or host Databench yourself (https://github.com/AlkeraAI/Databench).

AI Summary

Databench by Alkera is an open-source collaborative workspace designed for data science and analytics teams, enabling real-time collaboration in notebooks and chats. Users can run code on various devices and launch multiple agents in parallel, with all results linked to the underlying data and code.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum21
Sustained over 6h
Virality0
Spread × engagement
Engagement11
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.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.
155/8
Timeliness5%100
carried 7%
Trend20%50
carried 27%
Novelty15%42
carried 20%
Business15%7
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

3 of 6 active
  • Launch tracking4 readings since we picked it up
  • AI analysisAI Agents
  • 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

Rick Gao
Rick Gao
@rick_gao
rep 26
Ben Lang
@benln · hunter

Topics

Artificial IntelligenceData ScienceOpen Source