LitSource MCP
Biomedical evidence search and reference checks for AI assistants
Developer Tools·AI & Machine Learning·Education
What is LitSource MCP?
LitSource MCP connects AI assistants to biomedical evidence search and reference verification with PubMed/PMC-backed records and inspectable PMID/DOI links. Connect using OAuth 2.1 or a scoped Agent Token. A LitSource account is required. A free tier is available; paid tool calls use LitSource credits, with Pro subscriptions for higher usage. Review sources before citing: a matching reference alone does not establish claim support.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
first is like position of the paywall two is totally different paywalls just try different pays... then with done that a bit more localized also into different countries... big layer change when one paywall is working you can do like smaller change within that and then you do price testing
Iterate paywall in layers: position first, then design, then localization, then price
Mojo's paywall optimization ran as a deliberate sequence: nail position, then A/B full paywall concepts (video vs text, simple vs scrolling), then localize for key non-US markets, then run price tests within the winning concept. Running all these variables simultaneously creates noise. Each layer must stabilize before the next test layer begins.
We just released a module not that long ago called like npm test flight where you can basically in an Expo project run npm test flight and it'll just walk you through all the steps and put it in TestFlight.
TestFlight distribution — not coding — is now the bottleneck for vibe-coded apps
Vibe-coded apps run fine in a browser, but the real bottleneck is getting them onto the App Store. Provisioning profiles, distribution certificates, and Dun's numbers are knowledge most developers don't actually understand. Tooling that automates this last mile — like Expo's `npm test flight` — is what makes mobile distribution viable for non-experts.
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