Maximem Synap
Strong signalThe fastest, most accurate memory layer for AI agents
Launched 8h ago
Signal
77
Velocity
0
What this means
8.9×Growing 8.9× faster than the typical AI Agents launch.
Compared to 13 AI Agents launches at the same age.
35%Mid-tier finish likely.
Projecting attention of 116 by end of day-1.
+150%Launching in a 150% WoW growing category.
SDK had 5 launches this week vs 2 last.
24Founder Conviction Index: 24 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
35%
today
Projected end-of-day votes
116range 87–157
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
8.9×
13 AI Agents launches
About
Maximem Synap is memory and context infrastructure for AI agents, so every conversation does not start from zero. It is the fastest and most accurate memory system on public benchmarks, 92% on LongMemEval and 93.2% on Locomo, with sub-15ms P75 recall. It handles entity resolution, temporal reasoning, and multi-level scoping automatically, no vector database or ranker to tune. Native across 22 frameworks including LangChain, LangGraph, and the Claude Agent SDK. Free tier, no credit card required.
AI Summary
Maximem Synap provides memory and context infrastructure for AI agents, enabling continuity in conversations without starting from scratch. It boasts high accuracy on public benchmarks and supports 22 frameworks, offering a free tier with no credit card required.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement48
Discussion per unit of attention
Editorial read
Maximem Synap scores 77 for its AI memory layer launch.
InvestigateRanks high on little evidence. Worth a look, but verify before committing.
285/8
Surprising
Signal score of 77 out of 100, supports 22 frameworks.
Timeliness5%100
carried 7%
Novelty15%76
carried 20%
Story20%69
carried 27%
Trend20%50
carried 27%
Business15%28
carried 20%
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 tracking2 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.
