
Slaet — Think clearly
A browser-native intent memory for individual contributors. Never lose what you meant to do.
@Slaetapp · X
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16 projects

A browser-native intent memory for individual contributors. Never lose what you meant to do.
@Slaetapp · X

Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team

Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X

Persistent memory system for AI agents in Claude Code, Cursor, and other MCP-compatible applications.
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents

Practice LeetCode problems with automated spaced repetition scheduling.
@JoydeepNath007 · X

Save connections from X and LinkedIn with context to reconnect at the right time.
@aditya_founder · X

Drop files to generate cryptographic proofs showing they haven't been modified, all in-browser.
@WiseEstSystems · X

Watch an AI lose access to revoked memory mid-task.
coleaalkire · HN
Pupul, portable and revocable memory you carry into any AI

Versioned memory workspace for your ideas and code, readable by connected AI assistants.
@JohnTremendol · X
does this look vibe coded?

Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

Drop a file to get a shareable link—no signup required.
@gonelf · X
So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event

Calculator to estimate crypto airdrop token values based on market cap and distribution parameters.
@baofuzailushang · X
有位大兄弟制作了一个计算variational积分价值的网站,使用起来很方便: 我以市值1.5B,总积分9.3M,空投25%来计算,每分的价值是40u,1000分就是40000u 我认为这是保守估计,如果8月份variational上线了swaps和api,数据会更好看,而且以var的格局来看,空投应该不止25%,可能30%以上!