Mi

MichaelAI – An artificially intelligent investment analyst

Hacker News

MichaelAI – An artificially intelligent investment analyst

We’re DJ & Josh, co-founders of MichaelAI( https://michaelai.io ) - we’re excited to share our new artificially intelligent investment analyst, Michael. Josh’s six-year stint at a hedge fund exposed him to the challenges of investment analysis. He had access to abundant resources, including data collected by junior analysts, detailed reports, refined data from third-party providers, and access to industry thought leaders. However, the process demands significant time commitment, continuous engagement with other parties, nuanced data, and the potential to miss out on crucial information. Recognizing these challenges, we believe Michael is at the beginning stages of addressing them. Our goal is to enhance the productivity and proficiency of investment analysts. You can interact with Michael via natural language(i.e., chat) or search features. From our perspective, the former is great for exploring unfamiliar companies, or broader topics, whereas the latter is useful for seeking specific information or data points. We currently draw data from resources like SEC filings, earnings call transcripts, conference transcripts, and standardized financial metrics. For alleviating uncertainty with hallucinations, both search and natural language contain a feature for highlighting which portion(s) of the original document(s) Michael’s responses originated from. Although currently limited to ~30 companies, new firms are added daily. Presently, our data pipeline incorporates leading language models, such as BERT, RoBERTa, and OpenAI's text-davinci-003, for formulating Michael's responses. We believe that our unique edge lies in refining and customizing our own internal Large Language Model (LLM) specifically to financial metrics and information. This approach, we believe, will big a big factor in Michael’s growth for lowered latencies, increased accuracy responses, multi-step financial metric calculations, and reductions in hallucinations. We firmly believe that Michael is positioned to upend the investment industry. We are excited to see the impact it has on investors. Although we have sign-up constraints, we have an access code that grants immediate access post-sign-up (Access Code: MICHAELS_FRIENDS_1942). However, please note that usage is capped at ten queries per day for free users. For unlimited queries and to gain early access to emerging features, we offer a premium subscription for $9.99 per month. We appreciate your support and look forward to your feedback.*

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
86%86% 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: model, user, new · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, pipe · Missing: https docs, just released, exist
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month, users · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: growth, subscription · 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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