@ghoshshirsha · X

I am not done yet, but building in public: AI Visibility Platform: AI Video Generation Platform:

@SouravDaaa · X

- End to end personalised memory retrieval in 10ms. Would love some feedback here

u/sulovan69 · Reddit

Vous avez passez des heures entières a coder une application pour découvrir qu'elle existait deja ? Cette derniere semaine je me suis lancer dans un projet a la base perso mais finalement jai décider d'en faire un saas. Je vous explique, j'en avais marre que mes agents dans mon code perdais tout le contexte et ça me fatiguait d'utiliser des fichiers Markdown pour écrire la mémoire. Du coup, j'ai créé une app qui fonctionne en mcp. Et qui retient toutes les décisions importantes que je fais

u/OrganicArgument2092 · Reddit

I shipped Lodekeep: portable memory for AI agents that follows you across Claude, Cursor, and ChatGPT Every new AI chat starts from zero. Claude, Cursor, ChatGPT all forget my stack, my decisions, the gotchas I already solved, so I kept re-pasting the same context every single session. I got sick of it and built Lodekeep. You capture a decision, preference, or lesson once, and it's recallable in every future session across every MCP client (Claude web + desktop, Claude Code, Cursor, Gemini

u/Wolf-soul-site · Reddit

I cut the one feature every user asks for, because shipping it would've meant lying to them. I'm building Margin( https://margin.bhairav.ai ), a tool that helps YouTube creators decide what to make next. The #1 request is a number: "this idea will get ~40K views." Every competitor shows one. Users ask for it constantly. I won't build it. Nobody can predict a video's views from an idea. Thumbnail, timing, the algorithm, luck, none of it exists yet when you're validating. Any number I sho

snakaya · HN

Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)

@johncalvo · X

Built an entire YouTube research platform with @AnthropicAI Claude Code. a YouTube research tool that treats entire channels as a searchable transcript database rather than individual videos. Any YouTube channel. Every word. Fully searchable. Track how topics trend, peak, and evolve across hundreds of videos. Researching what someone said on YouTube means watching hours of footage and hoping you find it. ChannelScout extracts full transcripts from any channel, makes every word instantly searchable, and tracks how topics trend over time, without watching a single video manually. Paste a YouTube channel or playlist URL and it transcribes and indexes every transcript. Follow multiple channels and they all land in one private library. New videos on followed channels are auto-transcribed and added to your library the day they publish. Beyond YouTube it accepts any yt-dlp-supported URL including Vimeo, TED, and SoundCloud, and you can upload local files directly

@Nikborneklint · X

Shipped today: AEGIS Code's Terminal picker now includes @xai's grok CLI alongside AEGIS Code & Claude Code — all sharing one memory bridge via MCP. Local memory's free forever. #grokbuild @elonmusk

@Slaetapp · X

@v1b3_x · X

I built a persistent, Git-like memory engine for LLM agents so they never lose context across session. works with ClaudeDesktop <—> Claude Code <—> Codex

Repeater22746 · HN

ContextVault – Shared memory layer for your AI and your team

@PriceMander7110 · X