Redis Unleashed: A Free Udemy Course from the Rockstar Frank Kane

Hacker News

Frank Kane is a popular instructor on Udemy and has taught millions of students. He has now created a FREE course (limited time before it becomes paid). Check it out: Check it out: https://redis.info/3wwU3lh Overview: Today's Redis is more than a cache! Learn how Redis Modules can replace NoSQL, Elasticsearch, Neo4j, Kafka, and more. Chapters: - Deploy Redis Cloud to AWS, Google Cloud, or Azure - Cache key/value data with Redis - Store persistent JSON data with RedisJSON - Query JSON data with RediSearch - Interface with structured data in Python with Redis OM - Analyze time series data with RedisTimeSeries - Create a real-time multi-cloud service environment with Redis Cloud Enterprise - Generate real-time recommendations with RedisGraph - Build a real-time leaderboard with RedisBloom https://redis.info/3wwU3lh

Visit product View on Hacker NewsMar 17, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

75%75% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

42%42% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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