Macrometa – A CDN for databases, streaming, search, and APIs

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Head of Product here, Macrometa is the first of its kind developer platform for building apps and APIs that run in multiple regions, cloud providers, and a worldwide network of Edge locations (175+). We call it the "Global Data Network" or GDN. The GDN puts your apps and APIs as close as possible to where the people who use your apps are, to mobile, desktop and devices that access your apps, and to events and things all around the world. We do this so that everything is real-time and instant - everything from the web service request that accesses an API, which may be served by a bunch of micro-services (containers and functions), that read or write data from and to databases, or publish/subscribe to events and messages (such as Kafka), perform complex queries and updates. We bring all of that complex backend machinery out of a single region or one cloud and put in lots of places around the world close to where the action is. Many people compare our value to what a Content Delivery Network (CDN) does for the web - like the web needs a CDN to make it scale and be instantly usable anywhere in the world, today's cloud, mobile and web services need a GDN to make them scale and be instantly usable anywhere in the world by bringing things like databases, micro-services and more to the edge. Check out Product Hunt for more information - https://www.producthunt.com/posts/macrometa

Visit product View on Hacker NewsOct 25, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, apps, single · Missing: agents, macos, agent

95%95% 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 · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

66%66% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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