Developer Tools1 month ago · 3 tries
Lucid — Read the machine's mind
See the concepts a language model holds at each layer before it answers.
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
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See the concepts a language model holds at each layer before it answers.
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
Create a personal context file that AI tools read before responding, portable across platforms.
@connorhpbrn · X
the garden for your context
An LLM agent that tracks goals and plans across sessions while showing exactly what it retrieves, verifies, and fails on.
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
Shared memory layer enabling Claude and ChatGPT to access common context over MCP.
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over MCP
Automatically route each prompt to the cheapest capable model to cut API costs.
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified
Fine-tune LLMs with your data, teach and erase custom facts, get cryptographic deletion proofs.
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
Host a dedicated LLM instance in the EU with flat-rate pricing and no usage limits.
CodingPanda42 · HN
Virtual Private LLM, fixed fee with no usage or token limits
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
Upload project files to generate an optimized context.md file for Claude and other AI models.
u/Jealous_Buy_8829 · Reddit
Just updated my context builder https://reddit.com/link/1utq6y0/video/jy8bpbotxmch1/player You can now upload your whole project folder and get one clean, optimized markdown file that you can paste straight into Claude or Codex. All file uploads are 100% client-side. Let me know if you find this useful or not, would love some feedback! https://markdone.dev/ai-context-builder/ submitted by /u/Jealous_Buy_8829 to r/SideProject [link] [comments]
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]
View LLM model rankings across 10 benchmark questions.
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
Submit kernel patches and engine optimizations for LLM inference speed, benchmarked on dedicated hardware.
carsenk · HN
Frontier.fast – Help push the frontier of LLM speed forward