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MyScale Telemetry, Tracing and Evaluating Your LLM Applications
Hacker NewsMyScale Telemetry, Tracing and Evaluating Your LLM Applications
MyScale Telemetry is an open-source alternative to LangSmithand provides capabilities similar to LangSmith, including tracing and evaluating LLM applications. MyScale Telemetry reduces system complexity and improves data security by utilizing the versatile and powerful MyScale SQL vector database and the widely used Grafana dashboard. Additionally, since MyScaleDB is ClickHouse-compatible, MyScale Telemetry can be directly used with ClickHouse.
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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: including, compatible · Missing: supports, reddit linkedin, podcasting87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, clickhouse · Missing: https docs, excited, just released73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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