farezv.com

Software Engineer creating et al @ ex-@wbd @AWS & @EA. CS @UBC alum.

[farezv.com @farezv]

https://t.co/sPwZrQflwC

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@mikefutia SLIDES

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@alexolim_ SYSTEM

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@AlfieJCarter Outreach

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@AlfieJCarter MCP

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@mikefutia FABLE

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@AlfieJCarter Agents

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@mikefutia SEO

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@FreddyLA7 @TNHillbillyHack Go to the next one, there’s likely another Buc’ees within 79 miles

[farezv.com @farezv]

@denohawari Reddit

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@aryanXmahajan OS

[Aryan Mahajan @aryanXmahajan]

Claude + Reddit intelligence + LinkedIn data = Content OS that replaced a $14,500/month team.

(48K followers. 500+ booked calls. $387K in attributed revenue)

This 6-skill system eliminates writers, strategists, researchers, and schedulers using brand memory + real audience intelligence + calibrated AI writers...

→ No more $14,500/month payroll for a 4-person content team
→ No more 20+ hours weekly building content calendars from scratch
→ No more guessing which hooks actually stop the scroll
→ No more AI slop that sounds nothing like you
→ No more starting every post from a blank page

Just 1 topic in → a finished month of content out.

Here's how it works:

→ Brand Memory (your voice, proof, and exact buyer in one file. every skill runs off it. nothing generic ships.)
→ Reddit Intelligence (mines your ICP's subreddits for the exact phrases they use. posts start from real words, not blank pages.)
→ LinkedIn Viral Signal (hooks already stopping the scroll in your niche, last 30 days, ranked by real engagement.)
→ Four Calibrated Writers (thought leadership, lead magnet, story, value. one writer per stage of the buyer journey.)
→ Voice Firewall (7-dimension QA that scores and rewrites every draft before it ships under your name.)
→ Finished Board (every post handed over with its visual and first comment. ready to approve.)

Built on real content infrastructure.
Zero payroll. Consistent output. Enterprise-grade quality.

Results from the system:
- $14,500/month content team eliminated
- 48K LinkedIn followers
- 500+ calls booked from content
- $387K in attributed revenue

Want the complete 6-skill build?

Like + comment "OS" + repost, and I'll DM it to you.
(must be following)

[farezv.com @farezv]

@chasedownleads @HunterBiden @Kenneth_Belkin Banger

[farezv.com @farezv]

@ankurnagpal Does https://t.co/NiqrgIyZOD count?

[farezv.com @farezv]

@The_Only_Signal I care

[farezv.com @farezv]

@bcherny OMG yes 👏

[farezv.com @farezv]

@recap_david PULSE

[David Roberts @recap_david]

I built a zero-person AI newsletter business that did $2,000+ in revenue last month.

No team. No payroll. No freelancers.

Just 4 AI agents running the entire operation (and I spend less than 4 hours a week on it).

Here's how the system works:
→ A CEO agent sets the vision and orchestrates every hire
→ A Growth Engineer scrapes local news, Reddit, and event venues into a daily JSON database
→ A Content Director reads that database, curates the best events, and writes every Thursday newsletter in my voice
→ A Sales Director fields every ad lead, generates ad creative with nano banana, and closes deals over email
→ All orchestrated through Paperclip AI & powered by Claude Code

Spokane Pulse (my local newsletter) now has 6,662 subscribers and a 47.5% open rate, almost double the industry average.

Local newsletters are quietly printing money. Naptown Scoop does $320K/year. Wichita Life clears six figures. The model is wide open in almost every city, especially when building it in an AI-native way.

If you want the full blueprint and step-by-step walkthrough video, Like, RT, and comment "PULSE" (must be following so I can dm you)

I'll send you the exact Paperclip AI company export I use to run Spokane Pulse. You can clone it, swap in your city, and ship.

[farezv.com @farezv]

This is impressive. Waterloo students never disappoint.

[ani @anirudhbv_ce]

I implemented @GoogleResearch's TurboQuant as a CUDA-native compression engine on Blackwell B200.

5x KV cache compression on Qwen 2.5-1.5B, near-loseless attention scores, generating live from compressed memory.

5 custom cuTile CUDA kernels ft:
- fused attention (with QJL corrections)
- online softmax
-on-chip cache decompression
- pipelined TMA loads

Try it out: https://t.co/m5vkJxWIY6

s/o @blelbach and the cuTile team at @nvidia for lending me Blackwell GPU access :)

cc @sundeep @GavinSherry

[farezv.com @farezv]

@XanderChin Damn impressive indeed. Another Waterloo guy!

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@karpathy I see this all the time. Claude still brings things up from a year ago that are no longer relevant to my today’s life