NLP Based Data Engg Tool

Hacker News

Hello All, We are working on and about to launch in Beta a data engineering tool which is completely chat based. Looking for some help in getting beta customers for early feedback. MAIN USP - Chat interface: Very simple to use - No learning curve - No technical knowledge required to use, simply type what you want in plain English language - Very fast speed of development, data engineering at the speed of typing Simply chat, see in preview how your chat is affecting the data and then finally schedule. This can be used by data scientists who are looking to process or clean data before they run their ML AI algos. It can be used by BI Enggs who often need to create calculated tables columns for their further BI analysis. It can also be used by Data Enggs as it can really speed up their entire data pipelines creation work exponentially. Right now we are supporting only structured data but later we would add support of unstructured data also. Also in future not only data engineering but even data science work also you would be able to do. Please reach out on support@askondata.com with any questions, suggestions or feedback. Thankyou to this lovely community

Visit product View on Hacker NewsJan 17, 2024

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

83%83% 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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% 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: interface · Missing: plus, platform, intuitive

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

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.

Acquire.comPre-revenue stage for this audience · 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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