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17,045 products · 82,562 snapshots
beacon.sh

beacon.sh

Strong signal

Open-source self-improving memory for AI coding agents

Launched 10d ago
Signal
79
Velocity
7

What this means

8.3×Growing 8.3× faster than the typical AI Agents launch.
Compared to 35 AI Agents launches at the same age.
Decaying
Vote pace down to 5% of launch speed.
-60%Category cooling: SDK.
Launches down 60% week-over-week.
60%Strong buyer-intent signal in the discussion.
60% of commenters sound like potential buyers — mostly developers.
75%Comment sentiment overwhelmingly positive.
Audience strongly receptive — developers engaged.
Users are asking for context tagging + memory expiration.
Feature requests surfaced from the comment thread.
Recurring concerns: stale context issues, lack of detailed information.
Pain points raised more than once by different people.

Prediction

Top-5 finish probability
27%
today
Projected end-of-day votes
440range 330–594
Trajectory
decaying
Vote pace down to 5% of launch speed.
Speed vs peers
8.3×
35 AI Agents launches

About

Beacon turns agent sessions across Claude Code, Cursor, Codex, OpenCode, and 20+ other harnesses into a compounding knowledge layer, so every agent starts smarter than the last. It captures every agent trace across your environment and turns activity into clear operational visibility. Get started for free at beacon.sh

AI Summary

Beacon.sh is an open-source tool that enhances AI coding agents by creating a compounding knowledge layer from their sessions across various platforms. It captures agent activity to provide operational visibility, facilitating improved performance over time.

Attention & discussion velocity

Performance

Velocity7
Vote pace vs average
Momentum7
Sustained over 6h
Virality15
Spread × engagement
Engagement38
Discussion per unit of attention

Signal sources

3 of 6 active
  • Launch tracking9 readings since we picked it up
  • AI analysisAI Agents
  • 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

Justin D'Souza
Justin D'Souza
@justindsouza
rep 68
fmerian
@fmerian · hunter

Topics

Developer ToolsGitHubSDKOpen Source

Comment Intelligence· 29 comments analysed

Sentiment

Positive75%
Neutral15%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
developers
Sentiment over 10 days
Positive
Negative
Buyer intent
-14%
Overall vibe

Overall, commenters are enthusiastic about Beacon's potential to improve coding agent interactions, though concerns about context management persist.

Top themes
  • memory retention
  • cross-agent functionality
  • open-source
  • context management
  • user experience
Feature requests
  • context tagging
  • memory expiration
  • repo-specific memories
  • cloud sync options
  • performance benchmarks
Complaints
  • stale context issues
  • lack of detailed information
  • potential for incorrect memory
  • conflicting learnings
  • no clear handling of branch-specific fixes

Top comments

[REDACTED]
↑ 11

One of my favorite things about Beacon is that it makes your coding agents smarter the more you use them. Beacon learns from your past sessions, turns useful discoveries into reusable memories and skills, and makes them portable across all your coding agents. I personally switch between multiple agents every day, and seeing them build on each other's work has been a game changer. We're building Beacon in the open, it's completely free to get started, and I'd love to hear what you think! See the public repo: github.com/asymptote-labs/agent-beacon

[REDACTED]
↑ 5

How many times did you re-explain the same project to a different AI? @beacon.sh fixed that. Switch sessions between coding agents like @Claude Code and @Cursor, and one command hands the work to the next agent with everything it learned. They just raised $5.5M, and it's open-source. Star this repo: github.com/asymptote-labs/agent-beacon

[REDACTED]
↑ 3

are api keys that show up in command output scrubbed before a session turns into a memory?

[REDACTED]
↑ 3

What happens to a saved workaround when a repo change makes it obsolete? That seems like the tricky part of carrying lessons between sessions.

Sentiment computed via openrouter