Democratizing Access to Machine Learning

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Recently everyone has been talking about chat-gpt or other AI tools but the world of AI extends to a lot more sectors. Do you have a huge data store that you aren't sure what to do with? You can use Heimdall to bring in your data as a csv file and Heimdall will quickly build a model to solve that problem. Please note that Heimdall is NOT a large language model but rather like an automatic regression type tool. Say you want to build a model to predict if a customer will spend money based on their characteristics or you want to predict the price of real estate given characteristics of a home - Heimdall is here to help. Another great example is if you have your customer fill out surveys which you manually have to review in order to get back to them with a decision. Using Heimdall, you can cut the decision time to about 2 seconds after your train a model with all your previous decisions. Heimdall also comes equipped with an unstructured suite which means that Heimdall can help convert your text and image data to actual csv files. You can essentially take your csv file and then do things like classifying an image etc. This is more advanced and we would love to help you with these tasks if your interested - just reach out!

Visit product View on Hacker NewsSep 15, 2023

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

87%87% 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: mac, model, tasks · Missing: agents, macos, agent

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 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 · Missing: plus, platform, intuitive

49%49% 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

41%41% 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

12%12% 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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