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Cloud Native Interactive Landscape

Hacker News

Cloud Native Interactive Landscape

https://landscape.cncf.io/ CNCF's static Cloud Native Landscape [0] is an overview of cloud native projects, but it's too hard to learn more about each of them. https://landscape.cncf.io/ is a new interactive tool we built for investigating projects and products in the cloud native ecosystem. All data originates from a YAML file [1] which is then enriched with data from Crunchbase, GitHub and Yahoo Finance. One fun aspect of the app is that it is "serverless"; the JSON is served as a static file and then all filtering, sorting and grouping occurs locally in your browser. [0] https://github.com/cncf/landscape#current-version [1] https://github.com/cncf/landscape/blob/master/landscape.yml

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3points
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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
14%14% 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
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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