Podcast Episode Fetcher
Get & manage Xiaoyuzhou or Apple Podcasts
Description
Why we love this skill
This skill accurately fetches podcast episodes, using pre-checking, multi-platform parsing, and intelligent deduplication to ensure complete and duplicate-free data. It excels in managing episodes in complex scenarios.
Easily fetch and manage your favorite podcast episodes from Xiaoyuzhou or Apple Podcasts, covering newly discovered channels and long-followed content alike. This tool intelligently identifies and retrieves the complete episode list based on the podcast name, host name, or social media ID you provide. We have specially optimized the fetching strategy, prioritizing data from Apple Podcasts for comprehensive results. For Xiaoyuzhou, despite its page loading limitations, we use multiple searches and smart matching to overcome constraints and collect as many historical episodes as possible. Fetched episodes are intelligently compared with your existing content, automatically identifying and removing duplicates to keep your podcast library tidy. Whether it's a series with uniform numbering or live recordings distinguished only by date and title, deduplication is precise. Finally, all new episode links are saved to your specified board or group, accompanied by a detailed save report that includes the source platform and potential data overwrite warnings.
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YouMind already transcribes your calls, interviews and podcasts. Signal Room is what happens next. Drop in one transcript or twenty and get back a research synthesis an actual analyst would sign: coded themes, verbatim evidence with timestamps, the places people disagree, and a ranked answer to the decision you are trying to make. The method is real qualitative practice, not summarisation: • Open coding that works quote-first — no quote, no code — with codes named in the participant's own words rather than analyst jargon • Every code tagged Behaviour, Belief or Wish, because "I would definitely pay for that" is not the same class of evidence as "I paid for that last month" • Themes stated as falsifiable sentences, with strength counted in participants rather than quotes, and disconfirming evidence hunted for on purpose • A tension map showing where your participants genuinely split and what predicts which side they fall on • An opportunity backlog written as "when [situation], [who] wants [outcome] because [reason]", each rated Strong, Suggestive or Anecdotal • A direct answer to your decision question, with a stated confidence level and what would change it • The three questions this round could not answer, and who to interview next Guardrails that matter: it never invents or polishes a quote, it refuses to report percentages on fewer than twelve participants, it pseudonymises participants by default, and it will tell you to your face when n=1 means you have a hypothesis rather than a finding. For product managers, UX and market researchers, journalists, consultants, founders doing customer discovery, and anyone sitting on hours of recordings and no findings.
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Podcast Episode Fetcher
Get & manage Xiaoyuzhou or Apple Podcasts
Description
Why we love this skill
This skill accurately fetches podcast episodes, using pre-checking, multi-platform parsing, and intelligent deduplication to ensure complete and duplicate-free data. It excels in managing episodes in complex scenarios.
Easily fetch and manage your favorite podcast episodes from Xiaoyuzhou or Apple Podcasts, covering newly discovered channels and long-followed content alike. This tool intelligently identifies and retrieves the complete episode list based on the podcast name, host name, or social media ID you provide. We have specially optimized the fetching strategy, prioritizing data from Apple Podcasts for comprehensive results. For Xiaoyuzhou, despite its page loading limitations, we use multiple searches and smart matching to overcome constraints and collect as many historical episodes as possible. Fetched episodes are intelligently compared with your existing content, automatically identifying and removing duplicates to keep your podcast library tidy. Whether it's a series with uniform numbering or live recordings distinguished only by date and title, deduplication is precise. Finally, all new episode links are saved to your specified board or group, accompanied by a detailed save report that includes the source platform and potential data overwrite warnings.
Related Skills
View allResearchSlow Teacher's Keyword Method
Use the keyword learning method to quickly get started in any field: output a table of 20 core keywords (with one-sentence explanations, application scenarios, and best practices), hand-drawn comic-style SVG logic relationship diagrams, simulate a domain expert answering 5 key questions, recommend 3–5 professional books, and assemble them into a well-formatted report; enter 'Interpret [Book Title]' to switch to the seven-part in-depth book interpretation mode.
ResearchSignal Room: Interview Synthesis
YouMind already transcribes your calls, interviews and podcasts. Signal Room is what happens next. Drop in one transcript or twenty and get back a research synthesis an actual analyst would sign: coded themes, verbatim evidence with timestamps, the places people disagree, and a ranked answer to the decision you are trying to make. The method is real qualitative practice, not summarisation: • Open coding that works quote-first — no quote, no code — with codes named in the participant's own words rather than analyst jargon • Every code tagged Behaviour, Belief or Wish, because "I would definitely pay for that" is not the same class of evidence as "I paid for that last month" • Themes stated as falsifiable sentences, with strength counted in participants rather than quotes, and disconfirming evidence hunted for on purpose • A tension map showing where your participants genuinely split and what predicts which side they fall on • An opportunity backlog written as "when [situation], [who] wants [outcome] because [reason]", each rated Strong, Suggestive or Anecdotal • A direct answer to your decision question, with a stated confidence level and what would change it • The three questions this round could not answer, and who to interview next Guardrails that matter: it never invents or polishes a quote, it refuses to report percentages on fewer than twelve participants, it pseudonymises participants by default, and it will tell you to your face when n=1 means you have a hypothesis rather than a finding. For product managers, UX and market researchers, journalists, consultants, founders doing customer discovery, and anyone sitting on hours of recordings and no findings.
ResearchAI Paper Master
Helps product managers, founders, and app developers understand AI papers through historical causal links, turning those insights into product judgments, technical boundaries, engineering intuition, and opportunity analysis.
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