First off, a huge thank you to this incredible community — it genuinely means everything to a bootstrapped team like ours! 🙏
💡 The Problem Brands and teams worldwide are making decisions based on incomplete data — not because the conversations aren't happening, but because their tools can't understand how people actually talk online. Mixed languages, local slang, sarcasm, dialects — most tools simply miss it all. And worse — misinformation, bots, and deepfakes are polluting the data making it even harder to trust what you see.
🚀 The Solution That's why we built Awshar AI. It's simple:
1️⃣ Set up your brand or keyword 2️⃣ Choose your platforms and data sources 3️⃣ Get instant AI-powered insights
What makes us different: 🔍 Misinformation Detection — catch false narratives before they spread 🤖 Bot Detection — filter out fake engagement and inauthentic accounts 🎭 Deepfake Detection — identify manipulated media targeting your brand 💬 Ask Delishia — just ask questions about your brand data, no dashboards needed
🎯 Why It Matters Social media speaks every language. Your listening tool should too. We built VAAK — our own Small Language Model — for deep language understanding so nothing gets lost in translation.
We'd love your honest and brutal feedback — drop it in the comments and we'll respond to every single one! 💬
See you in the comments! 🚀
About Awshar AI on Product Hunt
“Understands India's nuanced digital conversations”
Awshar AI launched on Product Hunt on April 9th, 2026 and earned 68 upvotes and 4 comments, placing #59 on the daily leaderboard. AI-driven tool that extracts real-time insights from billions of social media discussions.
On the analytics side, Awshar AI competes within Social Media and Artificial Intelligence — topics that collectively have 555.2k followers on Product Hunt. The dashboard above tracks how Awshar AI performed against the three products that launched closest to it on the same day.
Who hunted Awshar AI?
Awshar AI was hunted by Ankit Narang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Awshar AI including community comment highlights and product details, visit the product overview.
Ankit Narang
Hey Product Hunters! 👋
First off, a huge thank you to this incredible community — it genuinely means everything to a bootstrapped team like ours! 🙏
💡 The Problem
Brands and teams worldwide are making decisions based on incomplete data — not because the conversations aren't happening, but because their tools can't understand how people actually talk online. Mixed languages, local slang, sarcasm, dialects — most tools simply miss it all. And worse — misinformation, bots, and deepfakes are polluting the data making it even harder to trust what you see.
🚀 The Solution
That's why we built Awshar AI. It's simple:
1️⃣ Set up your brand or keyword
2️⃣ Choose your platforms and data sources
3️⃣ Get instant AI-powered insights
What makes us different:
🔍 Misinformation Detection — catch false narratives before they spread
🤖 Bot Detection — filter out fake engagement and inauthentic accounts
🎭 Deepfake Detection — identify manipulated media targeting your brand
💬 Ask Delishia — just ask questions about your brand data, no dashboards needed
🎯 Why It Matters
Social media speaks every language. Your listening tool should too. We built VAAK — our own Small Language Model — for deep language understanding so nothing gets lost in translation.
We'd love your honest and brutal feedback — drop it in the comments and we'll respond to every single one! 💬
See you in the comments! 🚀