Posts

Show HN: I built a voice AI that responds like a real woman https://ift.tt/796VY0A

Show HN: I built a voice AI that responds like a real woman Most men rehearse hard conversations in their head. Asking someone out, navigating tension, recovering when things get awkward. The rehearsal never works because you're just talking to yourself. I built vibeCoach : a voice AI where you actually practice these conversations out loud, and the AI responds like a real woman would. She starts guarded. One-word answers, a little skeptical. If you escalate too fast or try something cheesy, she gets MORE guarded. If you're genuine and read the moment right, she opens up. Just like real life. Under the hood it's a multi-agent system : multiple AI agents per conversation that hand off to each other as her emotional state shifts. The transitions are seamless. You just hear her tone change. Voice AI roleplay is a proven B2B category : sales teams use it for call training. I took the same approach and pointed it at the conversation most men actually struggle with. There's a...

Show HN: Pgsemantic – Point at your Postgres DB, get vector search instantly https://ift.tt/sqgVKxI

Show HN: Pgsemantic – Point at your Postgres DB, get vector search instantly https://ift.tt/DYCIeT8 March 26, 2026 at 12:11AM

Show HN: Τ³-Bench is out – can agents handle complex docs and live calls? https://ift.tt/bmjCnLa

Show HN: Τ³-Bench is out – can agents handle complex docs and live calls? τ-Bench is an open benchmark for evaluating AI agents on grounded, multi-turn customer service tasks with verifiable outcomes. It's been great to see the community adopt it since launch — this is now the third iteration. With τ³-Bench, we're extending it to two new settings: knowledge-intensive retrieval and full-duplex voice. τ-Knowledge: agents must navigate ~700 interconnected policy documents to complete multi-step tasks. Best frontier model (GPT-5.2, high reasoning) hits ~25%. The surprising part: even when you hand the model the exact documents it needs, performance only reaches ~40%. We found that the bottleneck isn't retrieval — it's reasoning over complex, interlinked policies and executing the right actions in the right order. τ-Voice: same grounded tasks, but over live full-duplex voice with realistic audio — accents, background noise, interruptions, compressed phone lines. Voice agents...

Show HN: Gridland: make terminal apps that also run in the browser https://ift.tt/vMx6w2e

Show HN: Gridland: make terminal apps that also run in the browser Hi everyone, Gridland is a runtime + ShadCN UI registry that makes it possible to build terminal apps that run in the browser as well as the native terminal. This is useful for demoing TUIs so that users know what they're getting before they are invested enough to install them. And, tbh, it's also just super fun! Gridland is the successor to Ink Web (ink-web.dev) which is the same concept, but using Ink + xterm.js. After building Ink Web, we continued experimenting and found that using OpenTUI and a canvas renderer performed better with less flickering and nearly instant load times. We're excited to continue iterating on this. I expect a lot of criticism from the "why does this need to exist" angle, and tbh, it probably doesn't - it's really mostly just for fun, but we still think the demo use case mentioned previously has potential. - Chris + Jess https://ift.tt/rqo7GFl March 24, 2026 at 1...

Show HN: Littlebird – Screenreading is the missing link in AI https://ift.tt/k9fWiys

Show HN: Littlebird – Screenreading is the missing link in AI https://littlebird.ai/ March 23, 2026 at 11:09PM

Show HN: Minimalist library to generate SVG views of scientific data https://ift.tt/LiJ19Te

Show HN: Minimalist library to generate SVG views of scientific data Just wanted to share with HN a simple/minimal open source Python library that generates SVG files visualizing two dimensional data and distributions, in case others find it useful or interesting. I wrote it as a fun project, mostly because I found that the standard libraries in Python generated unnecessarily large SVG files. One nice property is that I can configure the visuals through CSS, which allows me to support dark/light mode browser settings. The graphs are specified as JSON files (the repository includes a few examples). It supports scatterplots, line plots, histograms, and box plots, and I collected examples here: https://ift.tt/2jEIZDe... I did this mostly for the graphs in an article in my blog ( https://alejo.ch/3jj ). Would love to hear opinions. :-) https://ift.tt/faWZEOL March 23, 2026 at 11:24PM

Show HN: MAGA or Not? Political alignment scores for people and companies https://ift.tt/z4Hg3yj

Show HN: MAGA or Not? Political alignment scores for people and companies I wanted a way for people to support companies and people that align with their political beliefs. Additionally, I think it can serve as a valuable, source-linked public ledger of who said and did what over time, especially as incentives change and people try to rewrite their positions. This is fully AI-coded, researched, and sourced. Additionally, AI helped develop the scoring system. The evidence gathering is done by a number of different agents through OpenRouter that gather and classify source-backed claims. The point of that is not to pretend bias disappears, but to avoid me manually selecting the evidence myself. I intend for it to remain current and grow. The system is close to fully automated, though ongoing evidence collection at scale is still limited mostly by cost. The name is an homage to the early days of Web 1.0 and Hot or Not, which was a main competitor of mine as the creator of FaceTheJury.com, ...