HighContext.ai – Serverless JSON Blob Storage

Hacker News

Introducing HighContext.ai: Serverless Cloud Storage for Your JSON Data In today’s AI-powered world, developers are constantly handling streams of JSON-formatted data — a trend that's only growing stronger. Just last week, OpenAI unveiled the 'JSON mode' feature, further cementing the dominance of JSON in data processing. // Simplify Your JSON Data Storage I know how cumbersome and costly managing database infrastructure can be. That's why I created HighContext.ai. Say goodbye to the headaches of data storage with my serverless solution: * Intelligent Auto-Tiering: Automatically saves your JSON objects as blobs in-memory and archives them for cost-effective, long-term storage. * REST API & Web UI: Manage your JSON objects with ease using our flexible tools. * Streamlined Efficiency: Focus on your work while we handle the data. // See the Difference for Yourself HighContext.ai is more than just cloud storage – it's a programmable platform designed to supercharge your workflow. Experience the ease of storing your JSON data with HighContext. Give it a try and tell me what you think! https://highcontext.ai Cheers, John

Visit product View on Hacker NewsNov 14, 2023

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

81%81% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: context, openai, using · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% 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

13%13% 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.

Correct prediction on native model

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