
WisdomTwin.ai — The Institutional Judgment Layer for the Enterprise
AI-powered Wisdom Twin assistant helps preserve institutional knowledge and judgment for enterprise employees.
@romanbodnarchuk · X
Check out what I just built with Lovable!
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AI-powered Wisdom Twin assistant helps preserve institutional knowledge and judgment for enterprise employees.
@romanbodnarchuk · X
Check out what I just built with Lovable!

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]

Devthropology – Better Insights for GitHub Repos
dpc94 · HN
Devthropology – Better Insights for GitHub Repos

Axiom is an engineering memory layer that maps codebase relationships, predicts change impact, and preserves institutional knowledge.
@vxssroot · X
Axiom is an engineering memory layer that understands your entire codebase, its relationships, and context locally and privately. *

Sort and rename files inside ZIP archives with customizable rules, completely client-side in your browser.
@TraXx474387 · X
Built ZipSort 🗂️ Sort files inside ZIP archives in seconds — no upload, 100% client-side (your files never leave your browser). Set rules by extension, prefix, suffix or keyword → download a clean, organized ZIP. Free to try:

Digital asset management platform for organizing and sharing visual assets with AI agent integration.
@raster_app · X

AI app that learns your weekly habits and reminds you of things before you forget.
@Prajwalr04_ · X
Check out what I just built with Lovable!

Organize thoughts into visual maps that extract key insights and transform them into documents and presentations.
u/shadowosa1 · Reddit
I rebuilt my landing page after 300+ visitors still didn’t understand what my app does. I’ve been building a spatial thinking environment called ThinkSpatial, and one of the hardest parts hasn’t been building the product. It’s been explaining what it is in the first few seconds. The basic idea is simple. You speak or type, and your thinking gets turned into a visual map instead of disappearing into a chat box, doc, or note-taking app. My first landing page was way too focused on showing h

Open-source AI agent that understands repositories, generates code, and automatically opens pull requests on GitHub.
u/shaurya-afk · Reddit
Looking for feedback on my open-source AI GitHub agent that understands repositories and opens PRs automatically Hi everyone, I've been building an open-source project called Nascent, and I'd love some honest technical feedback from developers who work on real GitHub repositories. The idea is simple: - Connect a GitHub repository - Ask for a feature, bug fix, or refactor in plain English - The agent analyzes the codebase - Generates the required changes - Shows a d

Connect recall's MCP to Claude, ChatGPT, or any MCP client and turn your notes into flashcards you actually review.
@tusharnathh · X

Review GitHub pull requests in a native app without opening github.com.
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

Automatically generate release notes from GitHub commits using AI.
@ReleasePilotHQ · X
Just shipped ReleasePilot. Connect GitHub → push code → release notes write themselves. No Actions. No config. Just push. Free for 1 repo & free trial → #buildinpublic #indiehacker #saas #github