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ALFA Finder is an AI-powered alert platform built for Indian stock market investors and traders. It tracks NSE and BSE corporate announcements — board meetings, earnings, dividends, bonus issues, and other price-sensitive events — in real time, and delivers instant alerts straight to WhatsApp or Telegram so you never miss a market-moving update before it hits the news. A 15-day free trial is available.
ALFA Finder
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ALFA Finder's answer
ALFA Finder delivers real-time NSE/BSE corporate announcement alerts (board meetings, earnings, dividends, bonus/rights issues, and other price-sensitive events) directly to WhatsApp and Telegram — channels investors already check constantly — instead of requiring them to log into a separate app or dashboard. AI-powered analysis flags which announcements are likely to move the stock, so users get context, not just raw filings.
ALFA Finder's answer
Most alternatives are research/analytics dashboards you have to actively check. ALFA Finder pushes alerts straight to WhatsApp/Telegram in real time, so traders act on price-sensitive news the moment it's filed instead of discovering it later inside an app.
ALFA Finder's answer
Retail stock market investors and traders in India — particularly swing and positional traders who track NSE/BSE corporate actions and need to react quickly to price-sensitive announcements.
ALFA Finder's answer
ALFA Finder was built to solve a simple problem: retail investors in India often find out about market-moving corporate announcements — board meetings, earnings, order wins — only after the news has already spread and the stock has moved. ALFA Finder was created to close that gap, delivering these NSE/BSE announcements straight to WhatsApp and Telegram the moment they're filed, so everyday traders get the same speed of information that was previously only accessible through expensive terminals.
ALFA Finder's answer
WhatsApp Business API and Telegram Bot API for real-time alert delivery, combined with AI/NLP-based analysis to process NSE/BSE corporate filings and surface the ones likely to be price-sensitive.
Based on our record, PostgresML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago
That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / over 2 years ago
Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago
PostgresML | You know Postgres. Now you know machine learning – PostgresML. - Source: dev.to / over 2 years ago
You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: almost 3 years ago
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