GuideBuild a Podcast Reading Pipeline With the Podwise CLI and API
A five-stage pipeline — find, filter, fetch, store, publish — with the commands and endpoints that make a weekly digest run itself.
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Notes for people who listen to learn.
Product updates, how-to guides and weekly podcast summaries from the Podwise team — what we learn building a tool for people who listen to learn.
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GuideWeekly picksPodwise Weekly Picks, Week 44: Inference, Anthropic's S‑1, and the Power Bottleneck
Ten episodes from the week of October 26: why inference is the real business, what Anthropic's IPO filing reveals, Ethan Mollick on productivity, and the grid as the limit.
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GuideLanguage Learning With Podcasts: Transcript, Translation, Flashcards
A twenty-minute loop for learning from real speech: listen, read the transcript, mine five phrases, and review them as cards with the audio still attached.
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GuidePodcast Transcripts, Explained: SRT, VTT, Speakers and What 'Clean' Means
The formats, the speaker-label problem, and the difference between a transcript you can read and one you can ship. With the checks that catch bad output.
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Weekly picksPodwise Weekly Picks, Week 43: Documents, Payments, and Agents Inside the Enterprise
Ten episodes from the week of October 19: the document layer agents are missing, CrowdStrike on AI-armed attackers, Amazon's $220B bet, and the case for specialised chips.
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GuideTurn One Podcast Episode Into a Week of Content
A repeatable repurposing loop for one episode: pick the spine, draft five assets from the same evidence, and keep attribution intact.
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GuideHow to Research a Topic Across 20 Podcasts (Without Losing the Sources)
Podcasts are where practitioners say the quiet part out loud. A five-step method for turning scattered interviews into a memo with citations you can check.
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Weekly picksPodwise Weekly Picks, Week 42: Superintelligence, Superlearners, and Who Pays for It
Ten episodes from the week of October 12: Bostrom and Soares on risk, David Silver on learning without humans, agents that spend your money, and the crack in the AI trade.
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GuidePodcast to Obsidian or Logseq: A Second Brain That Actually Gets Fed
The file structure, frontmatter and flow that turn episodes into notes your vault can link to — plus the transcript question nobody agrees on.
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GuideAsk Claude or ChatGPT About Any Podcast: The MCP Setup That Works
What the Podwise MCP server actually gives you, how to connect it in Claude, ChatGPT, Cursor or Codex, and the prompts that produce citations instead of vibes.
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Weekly picksPodwise Weekly Picks, Week 41: Assistants, Walkouts, and Who Funds the Buildout
Ten episodes from the week of October 5: the assistant war, an OpenAI safety lead who quit, the cloud built for agents, and the debt behind the compute.
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GuideHow to Take Notes From a Podcast (and Actually Remember Them)
A note-taking loop for listening: capture one line at a time, give it a reason to exist, and review it on a schedule. No app required, though one helps.
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GuidePodcast to Notion: A Database That Keeps the Ideas Worth Keeping
A podcast notes database that survives contact with a busy week: the properties, the three ways to fill it, and the review views that stop it turning into a dump.
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Weekly picksPodwise Weekly Picks, Week 40: Personal Agents and the Price of Compute
Ten episodes from the week of September 28: an agent you can text, SAP on what AI does to software jobs, GPU depreciation, and the case against one model to rule them all.
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GuideHow to Summarize a Podcast Episode: 4 Ways, From Manual to AI
Four ways to get a summary you can actually check: skip-listening, a do-it-yourself transcript, a summarizer tool, or Podwise. With the trade-offs of each.
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GuideSummarize a Podcast Yourself With Whisper, Step by Step
The do-it-yourself route: pull the audio, run Whisper, chunk the transcript, and stitch the summaries. With the commands and the failure modes.
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Weekly picksPodwise Weekly Picks, Week 39: Agents Meet the Real World
Ten episodes from the week of September 21: workflow beats model, Robinhood's tokenised stocks, safe logs for agents, AI security, and the case for smaller models.
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