Manab

Got two pro users yesterday. I am really happy!

@FlippedRay Hi

Let’s connect if you’re into: AI Crypto Python Java Backend Frontend

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I'm looking to #connect with builders and learners in tech. Let's share ideas, build, and grow together! • Frontend • Backend • Full stack • DevOps • Leetcode prep • AI / ML • Data Science • Freelancing • Startups • Founders • Vibecoders say hi and connect! 👋

@imabhijeet_s Hi

Good morning ☀️ looking to connect with people building in: 🍽 SaaS 🚀 Tech ⚙️ Automation 🧠 AI tools 📱 Product 🔥 Web apps 💻 Dev what are you building today? 👇

@Dev_code_04 fewtap.com

Good morning chats ☺️ What are you building today?🫣👀

@deepacodex fewtap.com

What are you working on?

@IamYashKapoor Why 5 years?

My daily routine as a builder: • Learn • Build • Ship • Talk to users • Improve Repeat for 5 years.

@elgermerlo fewtap.com

Just drop your SaaS link

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Looking to connect with people building in: 🍽️ SaaS 🚀 Tech 📲 Automation 🧠 AI tools 📱 Product Development 🔥 Web APP 💻 Devs Drop what you're working on👇

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Frontend. Backend. AI. Doesn’t matter. If you’re into tech, you’re in the right place. Say hi and let’s #Connect

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@britinogn Let's connect

Growing my tech network... Searching for people who are: -coding -designing -problem-solving -building things If you're into tech, development, AI, data, or startups, let’s connect 🤝 PS: You must be an active user of X, if yes let connect

@ionleu fewtap.com

drop ur startup link

That’s a sharp observation Right now it’s largely generalized. For exact keyword matches, detection is effectively 100%, which already covers most practical use cases On the AI sentiment side, we’re intentionally not chasing 100% accuracy. At high comment volumes, the cost spikes quickly and the marginal gains aren’t really worth it (classic diminishing returns). Our focus is to use smaller models with just enough context to get a “good enough” signal rather than perfect classification.

@ManabDotDev Good to know. False positive reduction through RL sounds obvious but takes real iteration. Curious whether the tuning generalises across input distributions or needs per-domain adjustment.

Hey builders 👋 I’m a full-stack dev building AI tools & indie SaaS. Interested in connecting with people working on: 🚀 AI tools 🛠 SaaS 💻 Full stack apps 🤖 Automation 📈 Indie hacking Currently building FewTap and experimenting with AI projects. What are you building right now? 👇

@aelson389 It’s still a work in progress. We’re running internal tests right now. Early on, false positives were pretty high, but after tuning parameters and applying reinforcement learning, we’ve brought them down to a much more stable, usable range

@ManabDotDev Signal from noise is the right focus - most tools flood you with activity, not insight. Curious how you handle false positives when the AI misreads the sentiment. That's where I've seen it break down.

Fair point, that’s exactly the gap we’re trying to solve with FewTap It’s not just about automating replies, but actually saving time + increasing meaningful engagement We focus a lot on filtering signal from noise, using AI sentiment detection on comments to surface potential leads and filter out spam or low intent interactions So instead of just “doing the task faster,” it’s more about helping you respond to the right people at the right time Curious what kind of workflows you’re building on the agent side

@ManabDotDev building agentic tools too - the indie SaaS intersection with AI is genuinely interesting right now. curious what FewTap does. the problem with most AI tools is they automate the wrong thing - the task instead of the workflow around it.

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@zhangtianfa_dev Let's connect

One tool you mass-produce EVERY day as a dev? Go 👇 What mass-produced learning to code? Be honest. You can only mass-produce 3 technologies forever. What are they?

@beardedtech_guy Let's go

As a techie in 2026 Whats one advice youd give anyone Mine: help as much people grow. Let’s connect and grow together

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Let's go for 1000 today.. We can connect If you are in tech ai ml dl rl cv