Test our Data warehouse for free

Hacker News

We have recently launched our new product REPODS ( https://repods.io ) and would like to hear your feedback! REPODS is an online data warehouse service for managing and analyzing data histories in data pods. Data can be imported via various interfaces, which facilitate the integration of all data (ERP, CRM, etc.). IoT devices can also stream data directly to a data pod for cross-analysis with all other data warehouse data. Data Pods are compact data warehouses equipped with storage and computing resources and all necessary tools. Each pod runs on its own infrastructure for maximum security and stable performance. The infrastructure can be flexibly scaled within a few seconds. REPODS is the ideal solution for small or medium-sized companies, as well as departments of large companies that are looking for a modern and lightweight industry 4.0 data warehouse solution. Already starting from 0€ monthly you can create your own Pod. Both flat rates with pre-defined resources and a freely configurable pay-per-use model are offered.

Visit product View on Hacker NewsMay 23, 2018

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

62%62% 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 · Missing: supports, reddit linkedin, podcasting

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

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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

29%29% 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

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Test our Data warehouse for free53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Test our Data warehouse for free

Hacker News1

tdm – Terraform for Test Data33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

tdm – Terraform for Test Data

Hacker News2

Free Facial Symmetry Test36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free Facial Symmetry Test

Hacker News1

Ranger – Contextual Test Data Generator40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ranger – Contextual Test Data Generator

Hacker News1

Stardog Voicebox, hallucination-free Data Assistan t52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stardog Voicebox, hallucination-free Data Assistan t

Hacker News1

Test and visualise a buffet of artisanal PRNGS30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Test and visualise a buffet of artisanal PRNGS

Hacker News2

Dat-container Debian test33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dat-container Debian test

Hacker News1

How I Test Controllers29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How I Test Controllers

Hacker News1

Circulus - put your finger to the test30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Circulus - put your finger to the test

Hacker News1

Is Turing Test Passed?64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Is Turing Test Passed?

Hacker News1

Browse all products Analyze your launch