Builds By Ben

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Builds By Ben

Builds By Ben

@BuildsByBen

Making money, jokes & babies | Building @RetellVideo

Everywhere data flows انضم Eylül 2021
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Builds By Ben
Builds By Ben@BuildsByBen·
Hey yall, I just launched a product on @ProductHunt and would appreciate any help I could get. Retell.Video turns any YouTube, TikTok, Twitter/X, or Instagram video into 40+ formats. Social posts, whiteboards, infographics, podcasts, and more. producthunt.com/products/retel… This is something I've been working on for a while but mostly just using for myself, but PH and @ycombinator are doing a collab that could get me a YC interview. Upvotes would be huge! Thanks for your support!
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Jacob
Jacob@Jacobtheclipper·
Lamelo Ball is a mockery to the game, millions of kids watch and idolize this fool. 10 years from now well have a league with 20 Lamelos 🤦🏻‍♂️
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MiniMax (official)
MiniMax (official)@MiniMax_AI·
Introducing MMX-CLI — our first piece of infrastructure built not for humans, but for Agents. Your Agent can read, think, and write. But ask it to sing, paint, or show you a world it's never seen — and it falls silent. Not because it doesn't understand, but because it has no mouth, no hands, no camera. Today, that changes. MMX-CLI gives every Agent seven new senses — image, video, voice, music, vision, search, conversation — powered by MiniMax's full-modal stack, today's SOTA across mainstream omni-modal models. One command: mmxAgent-native I/O. Zero MCP glue. Runs on your existing Token Plan. Two lines to give your Agent a voice: npx skills add MiniMax-AI/cli -y -g npm install -g mmx-cli Then tell it: "you have mmx commands available." It'll learn the rest. Github → github.com/MiniMax-AI/cli Token Plan: platform.minimax.io/subscribe/toke…
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Builds By Ben
Builds By Ben@BuildsByBen·
@coreyganim If you want to make it an even more enticing offer, you can roll the audit into the setup price if they move forward Reduces even more risk for them and pushes it close to a sale
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Corey Ganim
Corey Ganim@coreyganim·
Great framework. The part most people will get stuck on: landing the first 10 clients. The tripwire offer that solves this: a $999 AI audit. Here's why it works: It's hard to pitch a $4,000/month retainer to a stranger. But they'll buy a $999 audit because the risk is low and the deliverable is clear. The audit: 1. 45-min call mapping every repeatable process in their business 2. Rank each one by time/money waste 3. Deliver a prioritized automation roadmap The roadmap IS your sales pitch for the retainer. You diagnosed the problem. You showed them the fix. Now you're the obvious person to build it. Close rate from audit to retainer: 50%+ (because you already understand their business better than anyone else pitching them). The math Greg's describing: - 20 audits → 10 convert to $4K/month retainers - $40K/month recurring by month 3-4 - Each client teaches you what to productize The audit is the flywheel. Low risk for the client. High conversion for you. And every audit makes your eventual SaaS product smarter.
GREG ISENBERG@gregisenberg

THE CLEAREST PATH TO A $10M+ SOFTWARE EXIT in 2 YEARS (with AI and agents) building an agency right now is one of the most interesting business moves the productized agency had its moment in 2022. it collapsed because scaling humans is a nightmare. inconsistent output, people quitting, margins getting crushed. most of the founders (and creators) who tried it got burned and moved on but the thesis was right. the labor problem is just solved now with AI, claude code, openclaw etc. here's the actual playbook i'd run today: pick one painful deliverable for one specific buyer. like SEO content for e-commerce brands doing $1M+ but not "marketing." or like ad creatives for DTC brands spending $50k/month on meta. one thing. one customer. that's it then you build the AI workflow behind it. you're selling an outcome on a monthly retainer. $3-5k/month. 80%+ margins because your cost is compute and a few hours of QA "BuT tHaT'S nOt a BiG bUsInnesS" okay but you're still swinging for the fences because the agency IS the research and development for your agent SaaS every client is paying you to figure out what to automate. you're learning what breaks, what scales, what customers actually want. by month 4 you know exactly what to productize. you build the software on top of the workflow you've already proven works and already have customers paying for agency funds the agent SaaS. SaaS scales without the agency overhead. the clients become your first software customers now let's talk about what this actually looks like financially year 1: 10 clients at $4k/month. $480k revenue. 2 people. maybe $80k in costs including compute, tools, one part time VA. you're taking home $400k between two people while building the software in the background year 2: you launch the software. your 10 agency clients are the first to convert. they already trust you. they've seen the output. you charge $800/month for the software version. now you have recurring software revenue AND the agency still running year 3: agency is winding down or running on autopilot. software has 200 customers at $800/month. that's $1.9M ARR. 2-3 person team. 85% margins. you are now a very attractive acquisition target the exit math is interesting. SaaS at $1.9M ARR with strong retention trades at 5-8x revenue. that's a $10-15M exit for something two people built in 3 years starting with zero VC CAVEAT: Startups are hard. A lot needs to go right. But from a framework perspective, I think this probably the lowest risk, highest reward option for lots of of folks and most of the businesses cost $0 to start basically this is the most capital efficient path to a software exit that exists right now happy building

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mitte.ai
mitte.ai@mitte_ai·
"how many Seedance 2 videos can i make?" basic — 157 videos/mo creative — 297 videos/mo pro — 1,074 videos/mo x.com/phily_mandoza/…
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P.O.G Creatives@phily_mandoza

@mitte_ai I would like to know how many 15s Seedance video generations can we generate in a Pro plan both monthly and Yearly?

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Shopify
Shopify@Shopify·
the Shopify AI Toolkit is here manage your store with your favorite agent Claude Code, Codex, Cursor, VS Code, and more
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Claude
Claude@claudeai·
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.
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Anthropic
Anthropic@AnthropicAI·
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing
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Z.ai
Z.ai@Zai_org·
Introducing GLM-5.1: The Next Level of Open Source - Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. - Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5.1 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days.
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Builds By Ben
Builds By Ben@BuildsByBen·
Vibecoding means spending half your time explaining things calmly and slowly And the other half cursing like a trucker with road rage
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Aakash Gupta
Aakash Gupta@aakashgupta·
Alibaba just served 1.4 trillion tokens in 24 hours. For free. $0 per million input. $0 per million output. The second-place model, MiniMax M2.7, processed 194 billion tokens. Qwen 3.6 Plus did 7.3x that volume in a single day. The 711% surge wasn't a spike. It was a land grab. Here's what makes this interesting. Every single prompt and response sent to Qwen 3.6 Plus gets collected for fine-tuning. That's the deal: free inference, you give us your data. At 1.4 trillion tokens per day, Alibaba is now ingesting more real-world training data in a week than most labs collect in a year. This is the same playbook that drove Chinese models from under 2% of OpenRouter traffic in late 2024 to over 45% today. Price the model at zero. Absorb the compute cost. Harvest developer workflows at scale. Use that data to train the next version. Repeat. OpenRouter now processes 20 trillion tokens per week, 4x year-over-year. Chinese models account for nearly half of all traffic. A year ago, GPT-4 dominated these charts. Today it's Qwen, MiniMax, DeepSeek, and MiMo. The 1 million token context window isn't the product. The free pricing isn't the product. The 1.4 trillion tokens of developer behavior flowing into Alibaba's training pipeline every single day is the product.
OpenRouter@OpenRouter

Qwen 3.6 Plus from @Alibaba_Qwen is officially the first model on OpenRouter to break 1 Trillion tokens processed in a single day! At ~1,400,000,000,000 tokens, it’s the strongest full day performance of any new model dropped this year. Congrats to the Qwen team!

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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
woke up and my mentions are full of these Both me and @davemorin tried to talk sense into Anthropic, best we managed was delaying this for a week. Funny how timings match up, first they copy some popular features into their closed harness, then they lock out open source.
mvpr@marinatedvapor

@bigben7182000 @steipete

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Builds By Ben@BuildsByBen·
@bcherny There’s already usage limits, why does it matter how they’re used?
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Boris Cherny
Boris Cherny@bcherny·
Starting tomorrow at 12pm PT, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw. You can still use these tools with your Claude login via extra usage bundles (now available at a discount), or with a Claude API key.
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Google
Google@Google·
We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓
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Ben Roy
Ben Roy@benroy·
I think the age group that's best positioned to take advantage of the AI moment is 35-45 year olds 'cause those people have old world training + domain expertise that young folks don't have & they're more adaptable in their work identity + more able to upskill than senior people
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Gmail
Gmail@gmail·
Inbox Zero is a thing of the past. Introducing AI Inbox: cut through your email clutter with smart prioritization and daily personalized briefings. Rolling out today in Beta for Google AI Ultra subscribers in the US. → goo.gle/4tjtfyK
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