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Nick Christensen
634 posts

Nick Christensen
@NickAC1
Paid growth systems powered by AI agents. Growth @AppSumo, $7M → $90M. Breaking in public.
Austin, TX Katılım Temmuz 2020
408 Takip Edilen594 Takipçiler

Why I’d live in Austin over SF any day:
- Cost of living: 30-50% lower than SF, NY, LA
- State income tax: 0%
- A household earning $200k keeps $15-20k more per year in Texas
- Oracle, Tesla, Apple, Google all moved or expanded here
SF still leads in AI.
But if you want to buy something, own something, and build wealth without giving it back to Uncle Sam… Austin is the most rational financial decision on the map right now. *Also fewer socialists so that’s a win.

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@cathrynlavery have a cron job running regularly to update GitHub when skills are updated?
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💻Vibe coding pro tip
Your AI skills shouldn’t live in 3 different places that create redundancy.
→ create a .agents GitHub repo
→ put ALL your agent rules, skills, personas, scripts, prompts there
→ symlink into your Claude Code, Codex, Cursor, etc.
When you change one file, every tool stays in sync.
Also your @openclaw can use the same skills too 🦞
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I just pulled our AppSumo internal search data from March.
63,410 searches. Here's what founders are actually looking for right now:
1- SEO tools
2- LinkedIn automation
3- AI video
4- CRM
5- Email marketing
6- WordPress plugins
If you're building an AI tool — this is what people want right now.

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@tferriss most self improvement content is bs, your self from the time you’re born till you die is the same. It doesn’t need improving, I think finding happiness is it the self is actually just rediscovering who your true self is by removing layers not adding.
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NEW blog post is up!
The Self-Help Trap: What 20+ Years of “Optimizing” Has Taught Me
The older I get, the more I think that self-help can be a trap. Sometimes the cure is worse than the disease. I say this after ~20 years of writing self-help and a lifetime of consuming it.
Spend enough time in the world of “improvement,” and you’ll notice something strange: The people most obsessed with self-help are often the least helped by it. Behind the smiles and motivational quotes, behind closed doors and after a drink or two, the truth is that they’re not able to outsmart their worries.
On one hand, perhaps this unhappiness is precisely what lands one in self-development in the first place, right? I long assumed this about myself, and it’s partially true.
On the other hand, what if self-help itself is actually creating or amplifying unhappiness?
Modern self-help contains an in-built flaw:
To continually improve yourself, you must continually locate the ways you are broken.
Fortunately, there are a few perspective shifts that make all the difference. It took me embarrassingly long to figure them out.
To get started, let’s take a fresh look at an old concept.
See the link below to the full blog post 👇

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REPEAT AFTER ME
OpenClaw can now build Reddit traffic on AUTOPILOT
Hook this MCP server to OpenClaw and it:
→ Discovers Reddit threads ranking on Google Page 1
→ Writes natural replies that don't sound like ads
→ Auto-posts + boosts upvotes
→ Tracks everything so you know what worked
Your AI agent now does Reddit marketing for you.
RIP AGENCIES
Comment "MCP" + bookmark this → I'll DM you the link (must be following)
GIF
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cost: $0.60/month
Time saved: 2.5 hrs/week
Manual work: 5 min/week reviewing content my agent sources/writes
The real difference I think between automation and AI agents is one can think for itself and overcome with the right training.
Full breakdown: nickbuilds.ai/blog/my-ai-age…
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I canceled every social media tool I was using.
I've used Buffer, Hootsuite, UNUM, and Marky. All great tools but I just don't need them anymore.
My AI agent does it all now with very little involvement from my side. Posts to Instagram daily at 8 AM. 28K followers. Zero missed days, this is my workflow...
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@MrMooningg @clawzempic already doing most of this manually with model tiering. saving $500/mo without adding another proxy layer 🤙
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@NickAC1 How about using @clawzempic to save 93% of inference cost ! All your requests done with just few letters of coding
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openclaw is all fun and games until you have to refi your house to fuel your addiction
Did these 7 things and now on track to save about $550 this month so I can keep clawin:
1) Model tiering (Sonnet for cron/sub-agents) — $400-$500 saved
2) ChatGPT subscription as secondary provider — $100-$200 saved (hoping for custom OC plan soon with higher limits)
3) Killing unnecessary heartbeats — $50-$150 saved
4) Cron jobs replacing constant polling — $50-$100 saved
5) Sub-agents for heavy tasks — $30-$80 saved
6) Trimming system prompt/context — $20-$60 saved
7) Local tools over paid APIs — $10-$30 saved
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Shareables hit #4 deal on AppSumo last week!
Last week has been the biggest week for Shareables so far
+ 52 new customers
+ Shipped Notion integration
+ Lots of small but useful improvements
I think this week is going to be even bigger

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I’ve used Granola in meetings for a while. Wiring it into my AI agent is what finally unlocked it.
I set up my OpenClaw agent to automatically read every meeting I'm in, extracts action items, posts summaries to Slack, and gives me a daily briefing at 8am with my priorities.
Here's how it works:
1. Granola transcribes my meetings locally on my MacBook - no cloud, no API, just a local file (more secure, nothing exposed to internet)
2. My AI agent (Ace) polls every 30 min from a separate machine (my mac mini) over a private Tailscale tunnel
3. Pulls the raw transcript via SSH not Granola's AI summary, the actual transcript file (Granola has great speaker tagging, not great summaries)
4. Agent generates his own summary with strict rules to prevent hallucinations, every action item gets verified against the transcript before he posts
5. Extracts action items with owners, due dates, and priority then feeds them into a central tracker
6. Posts to Slack automatically - team meetings go through an approval gate so I review before anything goes public (just started this and working nicely)
7. Agent follows up with teammates as a thread reply to action items post, making sure no balls are dropped
8. Morning briefing at 8 AM - what's due today, what's overdue, what I'm waiting on from others
Key learning was Granola has no API or export for transcriptions. But the data lives locally on disk. So my agent just reads the file directly over SSH.
No copy-pasting. No manual note-taking. No worrying you forgot to do that one thing.
Granola + OpenClaw + Tailscale = fully automated meeting ops.
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I just vibe coded a Meta Ads creative analytics tool in Claude Code 🤯
It syncs your ad accounts, AI-analyzes every creative, and tells you exactly what's working, what's not, and WHY.
Built 100% in Claude Code.
Perfect for DTC brands and agencies who are tired of staring at Meta Ads Manager trying to figure out WHY an ad is working or not.
Here's the problem:
Meta gives you the data.
Spend, ROAS, CTR, hook rate.
But it never tells you WHY an ad is performing or what to do about it.
You're left manually watching videos, guessing at angles, and making gut-call decisions on what to iterate.
This tool solves it:
→ Connect your Meta ad accounts
→ AI watches every video and analyzes every static
→ Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage
→ Win rate analysis broken down by every category
→ Kill/scale recommendations segmented by TOF, MOF, and BOF
→ AI-generated iteration recommendations for every underperforming ad
No manual video watching.
No guessing at what's working.
No spreadsheets to track creative performance.
What you get:
- Full creative analytics dashboard
- AI classification on every ad
- Iteration priorities for ads with real spend behind them
- Weekly reports with top/bottom performers and AI insights
I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself.
Want access to all the prompts for free?
> Like this post
> Comment "META"
And I'll send it over (must be following so I can DM)
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Monte Carlo should be #1 by a long shot, absolutely insane gets from both sides. Tweener lob on a dead run cross court is video game shit
Would put Tokyo at 2 because of degree of difficulty and he was on a bum foot with Achilles injury
The Toronto tweener winner was pretty sick too. Human highlight reel
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@BenRothenberg i think they saw what it did to sinner waiting till 5 and realized that was too late
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