NextLect
Analyze articles, texts and podcasts with AI in seconds
What it does
NextLect extracts key ideas from any link, text or podcast using AI. Paste a URL or search for a podcast and instantly get: summary, key ideas, interpretation, glossary, FAQ, sentiment and bias detection. Analyze articles in any language, read RSS feeds, export to PDF, listen as audio. Built-in radio included. Free: 5 analyses/day. Pro: unlimited from €3.59/month.
Does a similar job
all alternatives →
Text to Podcast Extension by Podcastle2020 · ▲520Convert news/articles to a podcast using machine learning
- PAPodText.ai – Search anything said on a podcast, highlight text to play2023 · podtext.ai · ▲219
Hi HN, wanted to share a project that I’ve been working on recently. PodText allows users to find anything said on a podcast. You can also listen and share clips to a specific part of the podcast audio, simply by highlighting the text of that part. Currently there are just over 25k podcast episodes and I’m adding a lot more in the coming weeks (yes my GPU bill is painful). In order to monetize it, I’m building a sponsorship database to help sponsors find podcasts and vice versa. This will be sold in the form of a $99/month “PodText Business” subscription. I bet I could charge a lot more…
Listen To ThisMar 2026 · listentothis.xyz · ▲151Paste an article to listen to it in your podcast app
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com