Ankur Shrestha

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Ankur Shrestha

Ankur Shrestha

@ankurmans

Builder. Operator. Occasionally right.

San Francisco Bay Area, CA Katılım Ekim 2009
717 Takip Edilen442 Takipçiler
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TinyFish
TinyFish@Tiny_Fish·
9 weeks of the TinyFish Accelerator. 2,000+ applicants. 80 in Phase 2. Before the final Demo Day on April 28, we threw an informal Discord session. No judges and formal pitches. Just founders meeting each other, demoing, and celebrating the grind. So proud of this crew 🔥
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Ankur Shrestha
Ankur Shrestha@ankurmans·
Every marketer's LinkedIn now says "AI-native." Every SDR resume lists "GTM Engineer." But how do you prove it? Built GTM Commit — a verified score (0-1,000) that auto-detects your AI commits across 18 tools. Because talk is cheap. Commits aren't. → gtmcommit.com
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Ankur Shrestha
Ankur Shrestha@ankurmans·
Week of Mar 9-15 at @quotesweepai We deployed @Tiny_Fish web agents to profile 553 carrier websites into structured appetite data — 1,498 eligibility rules now filtering quotes before we spin up a single browser session. One API doing the work of 10 research analysts.
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Ankur Shrestha retweetledi
TinyFish
TinyFish@Tiny_Fish·
🚨 Announcing our second Pre-Flight class of The TinyFish Accelerator 1500+ requests, 35 public demos later, we have selected our next 10 builders! These builders unlocked free API access, engineering support, and weekly mentorship. See what they shipped👇🧵
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Olivier
Olivier@oliviercroguy·
@ankurmans The example I am showing in inside Shopify already Claude pushed it to Shopify
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Olivier
Olivier@oliviercroguy·
My AI made Shopify pages are getting better and better everyday Here’s an example of a Shopify section I built with the reference page and the result on my store 👇 Guide: To make good AI landing pages, you need to use the same method as making good AI UGC or AI product images you have to take something that's already good as a reference for Claude/gemini to analyze and adapt for your product/brand for now you can't adapt full landing pages to your product because the Claude context gets bloated fast and you get poor output. Listicles are the only kind of page you can "one shot" with Claude. But Product pages are another story Analyze an existing page and adapting it to your product section by section is the way to go. The results are 10x better. here's an example (on the video): 1- I found this good product section from im8's product page. I screen-recorded the section on both desktop and mobile, going through the animations to capture the dynamism that a screenshot wouldn’t show. Then I asked Claude Web or Gemini to analyze the recording and produce a very detailed report. Full prompt is on my TG channel, it's quite long. 2- then ask Claude (inside your Shopify brand project folder): "I have a detailed UI/UX specification document for a product page section I want to adapt to my product. Recreate this exactly on Shopify as a section template and adapt it to [name of the product] using the brand guidelines" (paste the result prompt from step 1 ). 3- you will have your section ready after 3-4 minutes. you'll probably have to change a few things. spacing, small visual bugs, price not appearing correctly. it will take you 5 minutes maximum. 4- then you can ask Claude to make 4 different variations of the section using different designs and pick the best one using this prompt: "Create 4 design variations of this section. Keep the content and layout structure identical across all, only vary the visual treatment (color usage, typography hierarchy, spacing, component styling). I will choose the one I like the most." after that you have a pretty good section, and you can do the process again for all sections of the page. The less complex the section, the faster the process will be. note: I know the AI result is not perfect, but it's pretty impressive imo and it will only get better.
Olivier@oliviercroguy

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Ankur Shrestha
Ankur Shrestha@ankurmans·
If you're building on Vercel, start Supabase from day 1. SQLite doesn't persist on serverless — you'll lose data between cold starts & eventually need to migrate. Just did this migration (26 tables, 170+ async conversions). Took longer than setting up supa would have on day 1.
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ILLIA 🇺🇦
ILLIA 🇺🇦@illia_oleksiuk·
Most companies pay $15-50K for a security audit and wait weeks for results. Small teams just skip it entirely. I'm building @vorotaai to fix this. It's AI agents that actually open your app in a browser, log in, click around like a real attacker, and find real vulnerabilities -- not just missing headers. Tested it on OWASP Juice Shop: 45 vulnerabilities found in minutes. SQL injection, XSS, broken auth -- all found autonomously. The secret sauce is @Tiny_fish browser agents that let AI interact with real web pages, handle logins, and navigate multi-step flows. Applying to the @Tiny_fish Accelerator. More updates coming. #TinyFishAccelerator #BuildInPublic
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Taylor Haren
Taylor Haren@THArrowOfApollo·
We were Clay's largest user at one point in time, hitting their platform 17.3 million times per week. Last month we replaced them entirely with a $200/mo Claude Code subscription. I can't write code. Neither can James, my VP of Growth who built the replacement. Here's the full story. Clay is a GREAT product and I TRULY think most people should use it. But we hit their ceiling. 50,000 row limit per table. 12.5 million row cap per workspace. Tables that take days to actually delete. Clicking "run all" thousands of times and waiting days for things to clear out. So When you're processing millions of leads, all the above become the bottleneck of your entire business. James had never touched Claude Code before. Three weeks after learning it, he built our entire core system. With Clay, processing 1 million leads took 27 hours. And it would error out often enough that we would always have to plan on hitting the “run all rows” button again on 20+ clay tables. IYKYK but Our new system waterfall enriches 1 million leads in 5 seconds. 272,000 leads PER SECOND. AND On top of the core engine, we vibe coded a Google Maps scraper that pulls leads zip code by zip code across all 32,000 US zip codes. AND An AI lead finder that hits 95% contact match rates where Apollo gives you about 30%. AND Ad library scrapers for Google and LinkedIn. AND An AI campaign analysis system. AND An auto-refill system so clients never run out of leads mid-campaign. One we started building with Claude, we just couldn’t stop Now we have the data ready for clients sending 5 million emails a month within 1 week of signing the contract. I put together the full system blueprint -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works. Retweet or Reply CODE below and I'll DM it to you.
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Vercel
Vercel@vercel·
Vercel partnered with Stripe to make secure checkouts even easier, and it's now generally available. Get started in v0, Vercel Marketplace, or the Vercel CLI with: ▲ ~/ 𝚟𝚎𝚛𝚌𝚎𝚕 𝚒𝚗𝚝𝚎𝚐𝚛𝚊𝚝𝚒𝚘𝚗 𝚊𝚍𝚍 𝚜𝚝𝚛𝚒𝚙𝚎
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Ronni P
Ronni P@Ronni_P·
@ankurmans @vercel I am 👋- Its blocking my CI run. Attempted a few times but will give it time before going again. Did yours resolve itself or still a problem?
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Ankur Shrestha
Ankur Shrestha@ankurmans·
Anybody else experiencing @vercel build failure with Error: We encountered an internal error. Please try again.
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