Show HN: Prism AI – A research agent that generates 2D/3D visualizations https://ift.tt/wCL3gqo

Show HN: Prism AI – A research agent that generates 2D/3D visualizations https://ift.tt/h7AI2xQ February 2, 2026 at 07:03AM

Show HN: Claw-daw – offline, deterministic terminal-first DAW https://ift.tt/PYjkw3t

Show HN: Claw-daw – offline, deterministic terminal-first DAW I built claw-daw: a tiny MIDI DAW you can drive from the terminal (TUI + headless scripts). Motivation: I wanted “music making that feels like coding” — reproducible, diffable, and automation-friendly. Same script + same seed → same beat. Features: • offline (FluidSynth + SoundFont) + ffmpeg export • deterministic renders for iteration/agent pipelines • WAV/MP3/MIDI export • projects are JSON (Git-friendly) Would love feedback on the workflow + what features would make this actually useful for you. https://www.clawdaw.com February 2, 2026 at 01:06AM

Show HN: ContractShield – AI contract analyser for freelancers https://ift.tt/Ad0OLzi

Show HN: ContractShield – AI contract analyser for freelancers Built this with Claude Code. Analyses freelance contracts for 12 risk categories (payment terms, IP ownership, scope issues, termination clauses, etc.) and flags problems with specific recommendations. 40% of freelancers report getting stiffed by clients, often due to vague contract terms. This tool aims to help catch those issues before signing. Currently free while validating whether this solves a real problem. Would love HN's feedback, especially on: - Accuracy of the analysis - Whether this is actually useful for freelancers - What's missing or could be improved Tech stack: Node.js, Express, Anthropic Claude API, deployed on Railway. https://ift.tt/5hmJLqM February 2, 2026 at 12:11AM

Show HN: Is AI "good" yet? – tracking HN sentiment on AI coding https://ift.tt/QnBEaql

Show HN: Is AI "good" yet? – tracking HN sentiment on AI coding A survey tracking developer sentiment on AI-assisted coding through Hacker News posts. https://ift.tt/Ta3vw4y February 1, 2026 at 11:06PM

Show HN: Peptide calculators ask the wrong question. I built a better one https://ift.tt/jgazuhT

Show HN: Peptide calculators ask the wrong question. I built a better one Most peptide calculators ask the wrong question. They ask: How much water are you adding? But in practice, what you actually know is your vial size and your target dose . The water amount should be the output , not the input . It should also make your dose land on a real syringe tick mark. Not something like 17.3 units. I built a peptide calculator that works this way: https://ift.tt/n5O7ZRT What’s different: - You pick vial size and target dose → reconstitution is calculated for you - Doses align to actual syringe markings - Common dose presets per peptide - Works well on mobile (where this is usually done) - Supports blends and compounds (e.g. GLOW or CJC-1295 + Ipamorelin) - You can save your vials. No account required. Happy to hear feedback or edge cases worth supporting. https://ift.tt/n5O7ZRT January 31, 2026 at 11:02PM

Show HN: I built a receipt processor for Paperless-ngx https://ift.tt/M8o5SLU

Show HN: I built a receipt processor for Paperless-ngx Hi all, I wanted a robust way to keep track of my receipts without needing to keep them in a box and so i found paperless - but the existing paperless ai projects didn't really convert my receipts to usable data. so I created a fork of nutlope's receipthero (actually it's a complete rewrite, the only thing that remains over is the system prompt) The goal of this project is to be a one stop shop for automatically detecting tagged docs and converting them to json using schema definitions - that includes invoices, .... i can't think of any others right now, maybe you can? If you do please make an issue for it! I would appreciate any feedback/issues thanks! (p.s i made sure its simple to setup with dockge/basic docker-compose.yml) repo: https://ift.tt/nMmrdZk tutorial: https://youtu.be/LNlUDtD3og0 January 31, 2026 at 09:17PM

Show HN: Kling VIDEO 3.0 released: 15-second AI video generation model https://ift.tt/Jzpmx1n

Show HN: Kling VIDEO 3.0 released: 15-second AI video generation model Kling just announced VIDEO 3.0 - a significant upgrade from their 2.6 and O1 models. Key improvements: *Extended duration:* • Up to 15 seconds of continuous video (vs previous 5-10 seconds) • Flexible duration ranging from 3-15 seconds • Better for complex action sequences and scene development *Unified multimodal approach:* • Integrates text-to-video, image-to-video, reference-to-video • Video modification and transformation in one model • Native audio generation (synchronized with video) *Two variants:* • VIDEO 3.0 (upgraded from 2.6) • VIDEO 3.0 Omni (upgraded from O1) *Enhanced capabilities:* • Improved subject consistency with reference-based generation • Better prompt adherence and output stability • More flexibility in storyboarding and shot control This positions Kling competitively against: - Runway Gen-4.5 ($95/month) - Sora 2 (limited access) - Veo 3.1 (Google) - Grok Imagine (just topped rankings) The 15-second duration is particularly interesting - enables more narrative storytelling vs the typical 5-second clips. Combined with native audio, this could change workflows for content creators. Pricing isn't mentioned in the announcement. Previous Kling models ranged from $10-40/month, significantly cheaper than Runway. Anyone have access to test this yet? Curious how the quality compares to Runway and Sora at this new duration. https://kling3.net January 31, 2026 at 09:06AM