Elelem – TypeScript LLMs with tracing, retries, and type safety

Hacker News

Elelem is a simple, opinionated, JSON-typed, and traced LLM framework in TypeScript. It's a proof of concept but has some nice features: 1. Caching (with Redis) 2. Tracing (with OpenTelemetry) 3. Generated examples of JSON output (using FakerJS), which results in more stable output types. 4. Type-safe 5. Has retry logic baked-in I'd appreciate any feedback on the interface and would be happy to answer questions for anyone interested in trying it out. Thanks.

Visit product View on Hacker NewsOct 12, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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