GREG ISENBERG ✓
@gregisenberg · more → · joined 03 May 2008
I drop startup ideas daily. Host @startupideaspod. CEO: @latecheckoutplz we build companies like @ideabrowser, @meetLCA, @boringmarketer etc
712 804Followers
995Following
64 140Posts total
15.3MViews on collected posts
Son gönderiler
Yeni gönderiler aranıyor…
I just read what Zuck wrote about Muse connectors.
A few things I think this means:
1. We’re witnessing the agentification of consumer apps.
2. Zuck believes Muse reaching 100M+ users feels entirely possible.
3. Whoever you connect to becomes your new landlord, so pick
369.4K views · 2K likes
· 133 reposts · 113 replies
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Jev is HERE and this is the CLEAREST explanation of what it is and what NEW businesses it unlocks.
(and at the end I'll tell you how to get Jev even if you're on the waitlist)
WHAT IT IS
You know how you open your inbox and have to decide what's junk, what needs a reply, and h
74.2K views · 832 likes
· 68 reposts · 52 replies
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28:24
I think we'll see 5x the number of people become hardware and robotics founders over the next 18 months
Why? Because you can rent every step, from design to manufacturing:
DESIGN
- Astra to drive Blender, FreeCAD, and KiCad the way a person would, so you get editable geometry
558.6K views · 5.3K likes
· 494 reposts · 248 replies
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Inside Instinct AI, the $10B invite only personal agent app.
Is it worth trying?
https://t.co/1KTSf39Ofn https://t.co/bpkVSf7wUU
75.9K views · 493 likes
· 37 reposts · 68 replies
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27:29
Are invisible interfaces coming?
Google JUST announced Gemini 3.8 Live. It can talk through a task with you, then keep working after the conversation ends.
I think 90%+ of vertical SaaS will need a voice front door.
By that I mean the way you use the software becomes talking
161.8K views · 1.2K likes
· 80 reposts · 145 replies
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WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN)
I think it's a silly name for a genuinely USEFUL idea!
A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. h
28.4K views · 314 likes
· 26 reposts · 75 replies
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31:29
AGENT HARNESSES ARE THE NEW GPT WRAPPERS
What exactly is an agent harness? A harness does 4 things:
1. Runs the model in a loop so it keeps working step after step instead of answering once and stopping.
2. Gives it hands to read files, call tools, open portals, and run code.
167.3K views · 2.4K likes
· 222 reposts · 229 replies
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The internet is the only place where anyone from anywhere can achieve anything
And despite all the AI doom and gloom you might read, that dream is more alive today than ever
Prepare for an explosion of entrepreneurship!
33.8K views · 799 likes
· 47 reposts · 123 replies
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There's no such thing as a solo founder anymore.
You have Grokbot, Hermes, Claude Code, Codex etc.
For $200 a month you rent more brainpower than a 1990s Fortune 500 department.
You have a team, it runs on tokens!
109K views · 2.3K likes
· 151 reposts · 205 replies
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The only businesses left to build:
1. AI native service firms
2. Offline businesses
3. Distribution (media, community, audience)
4. Proprietary datasets
5. Domain specific harnesses (the agent that runs one industry's work)
6. Robotics and physical AI
7. Physical products with a
339K views · 5K likes
· 452 reposts · 316 replies
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This is the AWS moment for agents.
OpenAI just shipped the Agents API, and everything that made agents hard to build is now something you rent instead of build. Keeping one running for days, remembering what it's doing, using tools, recovering when a step fails. Now it's an API
400.9K views · 2.1K likes
· 142 reposts · 170 replies
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Local AI 101: open models, Hugging Face, and businesses to build (38 min masterclass)
I still think cloud AI is the default for most things, and honestly it should be, the frontier models are the strongest and easiest to use.
But something shifted in the last 4-5 months. You ht
14.9K views · 151 likes
· 8 reposts · 23 replies
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38:45
real talk, if you've ever wanted to build something (the app, the store etc) and make a bigger life than the one you were handed, now's the time
it honestly fires me up so much
we're living through the cheapest, most open moment in history to make something big from nothing
43.2K views · 910 likes
· 60 reposts · 160 replies
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What breaks your AI agents? https://t.co/CZq1CYwcwQ
18.3K views · 75 likes
· 5 reposts · 51 replies
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1:01
I think building a crowd sourced niche dataset is one of the most UNDERRATED bootstrapped businesses in the AI AGE:
(think LevelsFYI, Glassdoor, Zillow etc but for any niche)
1. Your users build it for you by adding their own data (it gets more valuable with every entry)
2. AI
54.1K views · 633 likes
· 47 reposts · 86 replies
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@gregisenberg Yup, that’s why I made this for me and my agents https://t.co/fN3ReR0Cfn
293 views · 6 likes
· 1 reposts · 1 replies
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@gregisenberg I was researching a new space today.
I call it “agent gardeners”
Humans managing agents (for now) making sure they are optimized, working and planting new agents as needed.
1.3K views · 7 likes
· 0 reposts · 2 replies
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@gregisenberg Smart. Been doing this as I build to fix inefficiencies. I always like to ask it to see if we are approaching in the most direct simple way to achieve the goal. These models love to over complicate!
1.6K views · 8 likes
· 0 reposts · 1 replies
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HOW TO FIX YOUR AI AGENTS (it's called "self-healing agents")
If you've run AI agents, you know they BREAK constantly.
The FIX is something called a "self healing" agent!
A normal agent hits a dead end and just stops, leaving you a half finished mess and that's why output htt
67.1K views · 877 likes
· 87 reposts · 90 replies
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@gregisenberg Honestly, it's still a mystery to me that email is still a thing. Like... why?
17.2K views · 51 likes
· 0 reposts · 16 replies
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@gregisenberg So, inboxes get their own bouncers now?
6.8K views · 20 likes
· 0 reposts · 2 replies
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I think cold email is going to die.
Every email inbox will have an agent gatekeeper soon, and the only way through will be a warm intro or being interesting enough that the agent decides you're worth its person's time.
547.6K views · 2.6K likes
· 88 reposts · 583 replies
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Links in case you're interested in AX:
1. My co-founder from @MeetLCA @TheoTabah wrote a free book on AX - rise of agentic experience, you can grab a copy here https://t.co/Yu2dICHSja
2. Our design firm https://t.co/eZfpy76EYX is designing/building the best/biggest AX
8.4K views · 27 likes
· 0 reposts · 3 replies
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@gregisenberg good read for anyone who wants to dive deeper:
https://t.co/5wNl3yVbTJ
4.5K views · 43 likes
· 2 reposts · 1 replies
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AX is the new UX.
Software was built for humans clicking, now it gets rebuilt for agents.
Stripe just paid $8B for OpenRouter betting the main user of the internet is an agent.
Rebuilding all that software is 1000+ new companies.
The most obvious opportunity in a long time!
123.2K views · 1.4K likes
· 110 reposts · 190 replies
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@gregisenberg Quote posts on this are insane 😂
34.7K views · 332 likes
· 2 reposts · 1 replies
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@gregisenberg All I’m hearing is you gave the pitch of his dreams
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· 1 reposts · 3 replies
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@gregisenberg he wasn't asleep. he was doing diligence.
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· 6 reposts · 13 replies
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Aynı büyüklükteki hesaplara karşı
Son 90 güne ait 27 gönderi, 100K–1M takipçi aralığıyla yan yana. aynı büyüklükteki hesaplardan daha çok kişiye gösteriliyor.
Medyan görüntülenme54 081bu hesap5 983100K–1M için medyan
Erişim, %7.59%bu hesap1.49%100K–1M için medyan
Etkileşim, %1.01%bu hesap0.93%100K–1M için medyan
| Ölçüt | Bu hesap | 100K–1M için medyan | Oran |
|---|---|---|---|
| Gönderi başına medyan görüntülenme | 54 081 | 5 983 | 9.04× |
| Erişim (görüntülenme ÷ takipçi) | 7.59% | 1.49% | 5.09× |
| Etkileşim oranı | 1.01% | 0.93% | 1.09× |
Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
18.3K8 Sep
43.2K
14.9K
400.9K11 Sep
339K12 Sep
109K
33.8K
167.3K13 Sep
28.4K14 Sep
161.8K15 Sep
75.9K
558.6K16 Sep
74.2K18 Sep
369.4K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.73%8 Sep
2.65%
1.23%
0.59%11 Sep
1.69%12 Sep
2.48%
2.87%
1.76%13 Sep
1.48%14 Sep
0.89%15 Sep
0.79%
1.09%16 Sep
1.30%18 Sep
0.63%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes43.6%31 562 in total
Reposts3.2%2 304 in total
Replies4.1%2 996 in total
Quotes0.7%496 in total
Bookmarks48.4%35 003 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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