
Jason
@Jasonpraful
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Engineer @Intercom
London, England
Joined September 2012
RT @GroqInc: This solo founder taught himself how to code last year. Now his open-source writing platform is taking on Google Docs, Substac….
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RT @eoghan: Fin just passed 1M resolutions / week. (Up from 600k a quarter ago). 1 resolution = 1 customer query that’s been successfully r….
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RT @jamessloankelly: We aren’t another CRM, and we certainly aren’t another AI SDR or call recorder. We are building superhuman for your….
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RT @intercom: Most support leaders don’t need more AI hype. They need a plan. The AI Agent Blueprint is a two-part map to help support, CX….
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RT @karyanayli: Next up at @karyalist is making a list of the first 8 startup founders from the SEA-region I’d like to talk to 🌱. I want to….
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RT @destraynor: Join us (online) next Tuesday for a cool launch from the @Fin_ai AI Group. We'll share some of our research and cool new d….
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@Cloudflare Not an ideal solution but if any of you run into this bottleneck here's your fix:
github.com
Recursive batch processing with Cloudflare Workflows + D1 + R2 - jasonpraful/cloudflare-batch-processing
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@Cloudflare Turns out i'm being hit by the 1k query per worker request limitation 👀 This is a bit funny as I wouldn't have expected workflow workers to fall into the same bucket.
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Does anyone know a reliable way to use @Cloudflare workflows to process a huge chunk of data?. Steps:.- Download CSV (>100k lines) ✅.- Save CSV to R2 ✅.- Parse CSV and save JSON to R2 ✅.- Process and save each entry from JSON to D1 DB ❌. - Tried inserting all entries at once.
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Going down from 11ms to 3ms is no easy foot. Not something your average "openai wrapper" product even thinks of. Highly recommend reading how our ML team @Fin_ai achieved this!.
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RT @destraynor: So many startups YOLO their AI product out the door and 🤞/🙏 it works. This is why there'll be an AI winter with a lot of c….
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