Developer Tools11 hours ago
HungryGPU
Track local AI models, patches, and open-source recipes organized by hardware, updated daily.
clawterminal · HN
HungryGPU – Track local AI models, patches and recipes by hardware
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Track local AI models, patches, and open-source recipes organized by hardware, updated daily.
clawterminal · HN
HungryGPU – Track local AI models, patches and recipes by hardware
Experience the future of match analysis with real-time momentum tracking and AI-driven tactical insights. Forecast the game with advanced data.
@sportsalertai · X
Track ETH strategy signals, historical performance, and data insights for investment research.
@eth10000_lei · X
我相信ETH，为此还做了一个
MAPTF Terminal provides timestamped technical forecasts and market research with on-chain transparency.
@Real_MAP_Tech · X
Vibe coding on internet-computer:native 🔥- $MAPTF 🎵
View and compare public opinions and benchmark ratings for leading AI models.
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi
Semantic search across models, tools, prompts, glossary, tutorials, and comparisons. Built for clarity, not hype.
@GenAIGeeks · X
Explore AI Without the Noise!
Visualize and predict weather with on-device calculations and custom aggregation modes.
__mp · HN
I built my own weather prediction / visualization app: https://wx.rsp.li (on-device temperature lapsing, on device interpolation modes, user-selectable aggregations, etc…). One of these days I should do a writeup. I also asked Claude to build a photo gallery for me https://places.pascalspoerri.ch (HDR, map support, similar images)
OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
Upload a CAS PDF to get AI portfolio analysis with benchmark comparisons and allocation insights.
@iASHeeesh · X
Memory infrastructure for AI agents to store and retrieve contextual data.
memcode-in · GitHub
memcode Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case
Visualize hardware performance metrics while running LLM inference on your system.
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
Compare MLB Elo model predictions with Polymarket prices to find value bets.
@24Quiet · X