QuickEnrich
Notable signalB2B enrichment for the rows your GTM waterfall can’t fill
Launched 28d ago
Signal
51
Velocity
0
What this means
4.2×Growing 4.2× faster than the typical B2B SaaS launch.
Compared to 108 B2B SaaS launches at the same age.
Decaying
Vote pace down to 0% of launch speed.
+30%Launching in a 30% WoW growing category.
Marketing had 181 launches this week vs 139 last.
12Founder Conviction Index: 12 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
10%
today
Projected end-of-day votes
28range 21–38
Trajectory
decaying
Vote pace down to 0% of launch speed.
Speed vs peers
4.2×
108 B2B SaaS launches
About
Most gtm enrichment waterfalls rely on public LinkedIn data, so they miss up to 40% of an ICP, especially SMBs that barely use it. Quickenrich crawls the rest of the web and uses LLMs to find and reverify who’s who at each company. One API for Claude Code, Codex, Clay, or n8n.
AI Summary
QuickEnrich is a B2B data enrichment tool that utilizes web crawling and large language models to identify and verify key contacts at companies, particularly in SMBs. It offers a single API integration for various platforms, addressing gaps in traditional enrichment methods that rely heavily on LinkedIn data.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement43
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking9 readings since we picked it up
- AI analysisB2B SaaS
- Comment intelligencethread not yet 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.
