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Show HN: Uruky (EU-based Kagi alternative) now has Image Search and URL Rewrites

You can get a 2h free trial by solving a proof-of-work captcha when topping up your account for the first time.<p>If you'd like to learn more, an independent interview was posted a couple of weeks ago [1], and the FAQ [2] has a lot of information as well.<p>For the source code sharing, we've talked with lawyers and are inclined to no longer require the NDA/NCC for privacy reasons shared with us before (signing requires identification), but instead use a source-available permissive license that doesn't allow competition, like PolyForm Shield [3] (we do still have about 6 months before finalising a decision, here).<p>This does come with a lot more risks for us (it's harder to track down if someone publishes the code or uses it against the license), but given we've already passed 100 monthly active accounts, we're feeling more confident it's an acceptable risk.<p>The plan is to give logged in accounts (who are 12 months old or more) a way to download a ZIP of the current code base that's in the server.<p>Obviously there's no easy way to prove that's the case, but we're open to ideas/suggestions if someone here has them.<p>[1]: <a href="https://theprivacydad.com/interview-with-the-engineer-of-uruky-a-private-search-engine/" rel="nofollow">https://theprivacydad.com/interview-with-the-engineer-of-uru...</a><p>[2]: <a href="https://uruky.com/faq" rel="nofollow">https://uruky.com/faq</a><p>[3]: <a href="https://polyformproject.org/licenses/shield/1.0.0" rel="nofollow">https://polyformproject.org/licenses/shield/1.0.0</a>

Show HN: Rscrypto, pure-Rust crypto with industry leading public benches

Show HN: Tired of duct-taping access control into agent prompts. Here's the fix

Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)

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.<p>We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control.<p>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.<p>For more technical details and examples see our blog post: <a href="https://ideogram.ai/blog/ideogram-4.0/" rel="nofollow">https://ideogram.ai/blog/ideogram-4.0/</a><p>We will be happy to answer any questions :)

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.<p>We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control.<p>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.<p>For more technical details and examples see our blog post: <a href="https://ideogram.ai/blog/ideogram-4.0/" rel="nofollow">https://ideogram.ai/blog/ideogram-4.0/</a><p>We will be happy to answer any questions :)

Show HN: Paseo – Beautiful open-source coding agent interface

Repo: <a href="https://github.com/getpaseo/paseo" rel="nofollow">https://github.com/getpaseo/paseo</a><p>Homepage: <a href="https://paseo.sh/" rel="nofollow">https://paseo.sh/</a><p>Discord: <a href="https://discord.gg/jz8T2uahpH" rel="nofollow">https://discord.gg/jz8T2uahpH</a>

Show HN: Nutrepedia – Nutrition info in 29 locales built with Clojure and Htmx

Show HN: Nutrepedia – Nutrition info in 29 locales built with Clojure and Htmx

Show HN: I reverse-engineered the world maps of Test Drive III (1990 DOS game)

Show HN: I reverse-engineered the world maps of Test Drive III (1990 DOS game)

Show HN: I reverse-engineered the world maps of Test Drive III (1990 DOS game)

Show HN: I reverse-engineered the world maps of Test Drive III (1990 DOS game)

Show HN: Edsger – A handwritten Clojure REPL for the reMarkable 2

Show HN: Edsger – A handwritten Clojure REPL for the reMarkable 2

Show HN: Edsger – A handwritten Clojure REPL for the reMarkable 2

Show HN: Edsger – A handwritten Clojure REPL for the reMarkable 2

Show HN: Synapse – 2.9MB Mac app with screenshot, clipboard, Keep Awake and more

Show HN: A free Linux adaptation of NETworkManager by BornToBeRoot

Show HN: Live breath detection and biofeedback from a phone microphone

Hi everyone, I am Felix, a famliy doctor from ZH, Switzerland. A couple of month ago I started this little project called shii • haa, a breathing app that uses the phone`s microphone for live biofeedback<p>My prior work in emergency medicine and intensive care was closesly linked to breathing, mostly in critical situations... and let me to reevaluate my own way of breathing. over time one question popped into my mind: can medical knowledge and biofeedback make an app actually promote self-awareness instead of attaching your goals to the award system of the app.<p>it combines signal processing, a breathing state machine and ML. The state machine follows inhale, exhale and transitions in the mic signal. A quality layer rejects noisy or ambiguous windows before signals are used for feedback. All processing is done on-device, no speech or raw audio is uploaded.<p>What I'm trying to avoid is turning breathing into another score or game. The app gives feedback on rhythm, depth and regularity, but the point is more "notice what you are doing" than "perform well".<p>I'd be interested in feedback, especially from people who have worked on signal processing, health UX, or Android/iOS audio issues.

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