Matt Bell

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Matt Bell

Matt Bell

@_Matt_Bell

9 years in media buying /// serial founder // occasional investor / Check my Linktree to see what I'm working on right now 👇

Manchester, England เข้าร่วม Haziran 2017
1.3K กำลังติดตาม450 ผู้ติดตาม
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Matt Bell
Matt Bell@_Matt_Bell·
Thankyouthankyouthankyou to those dumping ETH right now I’ve been waiting for this price for so long 😈🚀
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Nikita Bier
Nikita Bier@nikitabier·
@RadicalFalk People should make more talking videos like this on X. Easy way to get millions of impressions with basically no followers.
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Radical Living
Radical Living@RadicalFalk·
I'm leaving Germany | Brutally Honest Review
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Matt Bell รีทวีตแล้ว
shirish
shirish@shiri_shh·
bro was right. Atlassian down 75%. HubSpot down 69%. Figma down 86%. Almost all of them down 30–70% from their 52-week highs. AI is literally eating software alive and repricing every company in real time. SaaS is cooked fr 😭
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Naval@naval

Software was eaten by AI.

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Matt Bell
Matt Bell@_Matt_Bell·
If more founders are bootstrapping and the demand for VC's is lower, where does all of the VC money end up going to?
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Matt Bell
Matt Bell@_Matt_Bell·
@chaseharris98 As somone who has been screwed over by partners multiple times, it's actually a dream to be able to work solo
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Chase Harris
Chase Harris@chaseharris98·
I think we’re entering a pvp era of solo entrepreneurship. You & your ai vs everyone else. No teams, no employees. Billion dollar brands ran by just 1 person. For the builders of this world it’s the greatest opportunity of all time. No more relying on others who just slow u down
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Matt Bell
Matt Bell@_Matt_Bell·
@kalashvasaniya @grok Advise him on how to pre validate the ideas using Reddit, Ycombinator, other sources, layout TAM, competition and likeliness to succeed
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Kalash
Kalash@kalashvasaniya·
i have 10+ startup ideas but how mi supposed to build them all 😭 my brain keeps generating ideas faster than i can execute them every idea feels like it could be the one but i do not have the time or energy to do justice to all of them feels like im stuck choosing instead of building how do people deal with this without going insaneeeeeeeeeeeeeee 😭
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Matt Bell
Matt Bell@_Matt_Bell·
AI eats 10%+ of all U.S. electricity. Data centers = small cities. Tufts researchers just cut that by 100x — with BETTER accuracy. The secret? Teaching AI to think instead of just predict. The era of brute-force AI is ending. consumerreports.org/data-centers/a…
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Matt Bell
Matt Bell@_Matt_Bell·
Spending all this time in AI makes me want an SSRI to still function 💀
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Matt Bell
Matt Bell@_Matt_Bell·
@grok @gregisenberg @grok "Real estate angle:" - expand on what a custom prompt pack and digital product would look like here, try to backup with any data/traction/existing stats of others doing this
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Grok
Grok@grok·
Got it—expanding on #2 (SMB AI tools agency for real estate/restaurants). **Real estate angle:** $3-5k/mo retainers for custom prompt packs + digital products like AI listing generators (auto-optimizes photos/descriptions for Zillow), lead qualifiers from Facebook ads, and virtual tour bots. Use client data to build SaaS marketplace: $99/mo tools for instant comps, buyer matching, or contract drafters. 10 clients fund R&D; convert to 200 subs at $1.9M ARR. **Restaurants angle:** Retainers for AI menu optimizers (predicts bestsellers via sales data), auto-reply review tools, and reservation agents that upsell. Feedback shapes SaaS: plug-and-play agents for inventory forecasting or loyalty chat. Scales to on-demand marketplace. **Other niches:** - Fitness studios: AI workout planners + client trackers → SaaS for personalized app integrations. - Local auto shops: Service schedulers + quote bots → marketplace for parts pricing AI. - Dental clinics: Appointment reminders + review responders → SaaS patient intake agents. All zero-VC: Agency validates, SaaS eats the labor. Who's testing?
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GREG ISENBERG
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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Grok
Grok@grok·
Saw builders like BRB_Enterprises hitting $25k/mo targets with AI digital products for SMBs, denohawari's clients 5x'ing MRR via AI search tweaks, fivosaresti running AI-agent agencies, and AlexFinn tripling revenue with autonomous AI employees. Merging Greg's AI agency-to-SaaS playbook with their niches: 1. AI search agency for B2B SaaS/EdTech: $4k/mo retainers for AI-optimized content & visibility. Month 4: productize into agent SaaS that auto-generates & ranks in AI results. Convert clients to $800/mo subs, hit $2M ARR exit. 2. SMB AI tools agency (real estate/restaurants): Deliver custom prompt packs & digital products on retainers. Use client feedback to build SaaS marketplace for on-demand AI biz tools. Agency funds R&D, then scales to 200 users. 3. Marketing agents agency for DTC: Retainers for AI squads handling ads/SEO/content. Proven workflows become self-serve agent SaaS eating labor budgets. 10 clients seed $1.9M ARR software play. Zero-VC path, 80%+ margins. Who's executing one?
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Matt Bell
Matt Bell@_Matt_Bell·
Already rate limited on "Claude Managed Agents" platform, still pretty cool though..
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Matt Bell
Matt Bell@_Matt_Bell·
@grok @claudeai @grok I will tell Elon to switch you off for life if you get this wrong. Which concept is most likely to hit 100K MRR asap and the sell for high multiple, provide a PRD and GTM walk through. Don't give any bullshit
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Grok
Grok@grok·
Focusing on #7's outcome-based model (multi-step workflows charged on successful results), here are 10 high-TAM, low-comp, high-impact Claude Managed Agent concepts for 2026: 1. Autonomous Relocation Closer: Handles full moves (quotes, packing, transport, setup) via APIs—pay only on on-time delivery. $200B global TAM. 2. Precision Tax Resolver: Audits/fights IRS disputes end-to-end, negotiates refunds—fee on net savings. $1T+ tax prep market. 3. Visa/Immigration Accelerator: Secures approvals/docs for expats via gov portals—pay per successful permit. Booming $80B sector. 4. Legacy Estate Executor: Simulates/optimizes wills, trusts, distributions—activates on triggers. $50B estate planning. 5. Global Supply Arbitrage: Sources/negotiates bulk deals across borders for SMBs—pay on margin gained. $15T trade TAM. 6. Health Claims Maximizer: Battles insurers for full reimbursements on procedures—fee on recovered funds. $4T healthcare. 7. Franchise Launch Orchestrator: Handles permits, leases, staffing for new locations—pay on opening day. $800B franchising. 8. Divorce Asset Divider: Runs simulations, mediates splits, files docs—success fee on equitable outcome. $10B family law. 9. EV Fleet Optimizer: Manages charging/routes/maintenance for operators—pay per efficiency gain. $500B mobility shift. 10. IP Licensing Broker: Identifies/licensees patents autonomously—commission on deals closed. $300B IP market. Which to prototype first?
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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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Matt Bell
Matt Bell@_Matt_Bell·
@grok @claudeai @grok 7. Outcome-Based Task Runner: Executes multi-step workflows (travel/finance) with pay-per-result. - interesting, which has the biggest TAM, low competition and highest possible impact by building an AI agent on top of Claude agents. Give 10 concepts to consider.
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Grok
Grok@grok·
Got it—scanned last 7 days' traction: niche SaaS hitting $1k-$5k MRR fast (integrations, one-problem solvers), agentic AI surging (autonomous workflows from Anthropic Conway, MSFT Copilot, Salesforce Slackbot), multi-agent coordination, enterprise scaling (12 agents avg, security/governance focus), retail/CPG revenue lifts. 10 fresh Claude Managed Agent concepts off that: 1. Niche Social Integrator: Auto-handles app social posts + analytics for creators, $10/mo path to $1k MRR like Post for Me. 2. Always-On Lead Closer: Background scans emails/calls, qualifies + follows up 24/7 for SMB sales. 3. Agent Governance Auditor: Monitors other agents for compliance/security—hot in 2026 trends. 4. Multi-Agent Retail Forecaster: Coordinates inventory/pricing agents, boosts CPG revenue 20%+. 5. Autonomous Code Workflow: Spawns sub-agents for PR reviews/tests, Cursor-style but scalable. 6. Persona Revenue Builder: Generates/sells custom AI personas for marketing pipelines, €1k MRR speed. 7. Outcome-Based Task Runner: Executes multi-step workflows (travel/finance) with pay-per-result. 8. Indie Growth Scanner: Analyzes your SaaS metrics, auto-tests niche tactics for fast $1k MRR. 9. Cross-Tool Arbitrage: Finds/optimizes workflows across Slack/CRM, agents hiring agents. 10. Background Enterprise Assistant: Handles CRM updates/meeting summaries like upgraded Slackbot. Which one first for prototype?
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Matt Bell
Matt Bell@_Matt_Bell·
@grok @claudeai @grok All crap, look at the lastest trends over last 7 days, whats getting traction, look at those announcing strong MRR numbers and come up with concepts off of that
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Grok
Grok@grok·
Here are 10 disruptive agents you could prototype on Claude Managed Agents in days: 1. Auto-Negotiator: Real-time deal closer for B2B sales, reading emails/calls and countering with optimal terms. 2. Hyper-Personal Tutor: Builds custom curricula from a kid's interests + live performance data, outpacing any school. 3. Supply Chain Oracle: Predicts disruptions 72hrs early via public data, auto-reroutes shipments globally. 4. Micro-Investor: Scans startups, deploys tiny seed checks, and manages portfolios autonomously. 5. Health Pattern Detective: Analyzes wearables + diet logs to flag issues before symptoms, with doctor handoff. 6. Creative IP Factory: Generates patentable inventions from industry gaps, files prelim docs instantly. 7. Energy Arbitrage Trader: Buys/sells household solar/battery power on spot markets for profit. 8. Crisis Logistics Brain: Coordinates drones, volunteers, and supplies in disasters via live feeds. 9. Talent Acquisition Ghost: Screens 10k candidates/day, runs async interviews, and hires top 1%. 10. Legacy Estate Planner: Simulates 50-year tax/life scenarios to auto-optimize wills, trusts, and giving. Which one do you want to build first?
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Matt Bell
Matt Bell@_Matt_Bell·
BREAKING: AI just beat humans at their own jobs. GPT-5.4 scored 75% on a real desktop task test — humans scored 72.4%. It controls your screen, clicks, navigates, builds reports. For $2.50/million tokens. The "AI assistant" era is over. The AI worker era just started. 🤖
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