Sarin Bhaskaran

800 posts

Sarin Bhaskaran

Sarin Bhaskaran

@sarinb

Tech enthusiast. Product @Khoros. Love food and travel.

Katılım Ağustos 2009
521 Takip Edilen219 Takipçiler
Sarin Bhaskaran
Sarin Bhaskaran@sarinb·
Don’t know if it’s just me, but I find #liquidglass annoying, bordering on gaudy even. The interface is interfering too much with the experience. The good thing is that it can only get better from here.
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Sarin Bhaskaran
Sarin Bhaskaran@sarinb·
Yikes, @airfrance! First, my flight gets canceled, costing me a whole night & day. Then, customer service treats me with a condescending attitude, acting like the hotel stay was a perk, not an inconvenience #AirFrance caused! 😡 Unacceptable service.
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Sarin Bhaskaran retweetledi
OpenAI
OpenAI@OpenAI·
You can now chat with apps in ChatGPT.
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Sarin Bhaskaran
Sarin Bhaskaran@sarinb·
@KLM My baggage did not arrive, your website is not letting me create a delayed baggage file, customer service chatbots on Whatsapp and Apple Messages are not working properly and I don’t even have a valid number to call!
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Gabbar
Gabbar@GabbbarSingh·
Good read.
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Sarin Bhaskaran
Sarin Bhaskaran@sarinb·
@Shpigford What AI tools do you use for 1) Building the application and the visual design and 2) designing the logo?
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Josh Pigford
Josh Pigford@Shpigford·
proof that it's working. 🙂 still lots to tweak, but the bones are there.
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Josh Pigford
Josh Pigford@Shpigford·
I'm building this. It's called NameSnag. Domain purchased. Core code generated. Should have an MVP within 24 hours. *Maybe* later today.
GREG ISENBERG@gregisenberg

startup idea for you "AI agents that finds expired dotcom domains" every day 50,000 domain names expire. most are garbage lbut hidden in there are gems - domains with real traffic, clean backlinks, brandable names that someone will pay thousands for. domain investors know this. they make serious money buying expired domains for $100 and flipping them for $5k+. i did this when i was younger but finding the good ones is pure torture. right now they manually download massive lists of expiring domains, then spend hours checking each one. does it have traffic? clean backlink history? is the name brandable? by the time they finish analyzing 50 domains, the best ones are already gone. this is exactly what AI agents are built for. pattern recognition at machine speed. how it works: your ai agent watches all the domain drop lists 24/7. it checks each domain's traffic history, backlink quality, spam scores, and brandability. when it finds a winner, it texts you: "XYZ domain dropping tomorrow. 5k monthly visitors, mentioned in techcrunch, estimated auction price $300." how to build it: weekend mvp: connect to daily domain drop feeds, run everything through a scoring algorithm, send sms alerts via twilio when something hits your criteria. plug in apis like majestic seo and similarweb for traffic data. charge $99/month to beta users. how to grow it: start with 100 beta customers paying $99/month. these people currently spend 2+ hours per day doing this manually, so you're literally paying them to use your product. wont be easy to find first 100 customers. maybe you'll have to create tons of yt content, x content around what you're seeing out there, but i do think its possible. scale to 1,000 customers = $1.2m arr. your only real costs are data feeds and servers and your team. but this could be a 1 person biz with contractors. add features: auto-bidding at auctions, one-click listing to marketplace sites, private deals for agencies. each new feature makes manual competitors look like cavemen. (thanks to @ideabrowser for this idea) why i like AI agent businesses like this domain startup idea (and how to find them) look for markets where people are: → doing repetitive, boring work that requires pattern recognition → monitoring multiple data sources 24/7 (impossible for humans) → already paying significant time/money for manual solutions → making real money when they find opportunities (so they won't churn) → working in industries where speed = competitive advantage the best ai agent businesses solve problems that are too tedious for humans but too valuable to ignore. find the digital needle-in-haystack problems where people are burning hours for clear ROI. happy building.

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Sarin Bhaskaran
Sarin Bhaskaran@sarinb·
@glean @rrhoover Got the merchandise, thank you! ❤️ And a bigger thanks for building Glean and saving me time every day!
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Glean
Glean@glean·
@sarinb @rrhoover Thanks for the shout @sarinb 🙌 Check your DMs, we'd love to send you some Glean merch!
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Ryan Hoover
Ryan Hoover@rrhoover·
What product has had the biggest impact on your life or work in the last 6 months?
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John Kurian
John Kurian@Mr_Cheese_Cake·
@lennysan @sarinb was a great B2B PM while at Amadeus building travel technology products for the largest airlines of the now. Super empathetic and great at prioritization. He’s now over at Wayfair and I think he’d be a good fit for your podcast :)
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Lenny Rachitsky
Lenny Rachitsky@lennysan·
Who's the best IC product manager you've ever worked with? If they're not on Twitter, share their LinkedIn 🙏 Looking for under-the-radar-but-amazing IC PMs to feature on the podcast.
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Julie Zhuo
Julie Zhuo@joulee·
Someone on your team says: “Our goal should be to move Metric X up Y% this half.” Your inclination is to nod, say “Cool” and get on with the actual building. But pause! The goals you agree to determine what you build. So consider them carefully and ask the following:
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