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Launch HN: Hyper (YC P26) – Company brain to power agentic development
Hey HN, we’re Shalin & Kanyes, best friends who've been hacking together for 10+yrs, and now founders of Hyper ( https://heyhyper.ai/ ). Hyper is a shared “company brain” that plugs into information flowing inside a company to make AI agents and automations better and ultimately save people time. Models have gotten good enough that they can (mostly) take on long-horizon, complex tasks. We believe the bottleneck now is that these smart-enough models often lack information about your company, whic
I believe a whole generation of developers miss how open source used to work
Gooey: A GPU-accelerated UI framework for Zig
The Public Should Own Half of the Big A.I. Companies
If AI data centers are so great, why are they being built in secret?
Angular v22
Show HN: Rscrypto, pure-Rust crypto with industry leading public benches
Rebuilding Postgres Metrics on Self-Hosted VictoriaMetrics with Zero Downtime
MacBook Neo Is So Popular That Apple Doubled Production
A Visual Guide to Gemma 4 12B
New Texas Instruments 5532 chips are not the 5532's we've used for decades
Show HN: Nutrepedia – nutrition info in 29 locales built with Clojure and Htmx
ESP32-S31
Uber cuts 23% of people division as new president takes over
https://archive.ph/CddKS
Gemma 4 12B: A unified, encoder-free multimodal model
SpaceX's IPO is a disaster waiting to happen for your pension fund
Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model
It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/b