JoinBase, single binary AIoT-first data-service platform

Hacker News

Since the global launch of JoinBase in October 2022, we have received overwhelming requests from totally 33 users applied our free distribution on the website. We are exciting that we can help the world. Unlike the currently prevalent, over-sized cloud platforms, we aspire to construct an AIoT infrastructure that is "everyone-accessible", from the ground up. It doesn't require specialized knowledg; it utilizes cutting-edge hardware, contemporary kernels, and state-of-the-art database and compilation technologies; it works on several-dollars-cheap single-board computers, and also scaled to the mega-threads and clusters. Despite there is still much room for growth, we are proud of what we have accomplished so far. There's a release blog to the free full-functional community version to try, if you're interested. :thanks:

Visit product View on Hacker NewsFeb 9, 2023

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

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

best fitHighest predicted score across all platforms for this description.

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

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

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Fundercove37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdfunding & Crowdinvesting on a single platform

Indie Hackers2community

Example Data Service – Lorem Ipsum back ends by @Draftbit (W18)59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Example Data Service – Lorem Ipsum back ends by @Draftbit (W18)

Hacker News4

ISBN Data as a Service54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ISBN Data as a Service

Hacker News19

Miget76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Platform As a Service

Indie Hackers2ai

Stakin68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Staking-as-a-Service platform

Indie Hackers2cryptocurrency

Data Savers34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data Savers Service Singapore

Indie Hackers

Data Savers34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data Savers Service Singapore

Indie Hackers

Thomson Data43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data as a Service (daas)

Product Hunt+11

Flanks24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

API that aggregates financial data on a single platform.

Indie Hackers

Platform for data scientists73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Platform for data scientists

Hacker News7

Browse all products Analyze your launch