A closer look at setting up NanoClaw on a DigitalOcean droplet with Tailscale for easier access as the foundation for my GTM dark factory
cherry valley forever
todays bird
we're not kids anymore.

ē„ę„ / Permanent Vacation

Stranger Things

ā

shark vs the universe
šŖ¼
$LAYYYTER
styofa doing anything

⣠Chile in a Photography ā£
Keni
trying on a metaphor
Show & Tell
2025 on Tumblr: Trends That Defined the Year

pixel skylines
Jules of Nature

JVL

blake kathryn
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seen from Malaysia
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@abaditya
A closer look at setting up NanoClaw on a DigitalOcean droplet with Tailscale for easier access as the foundation for my GTM dark factory

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A bit of a technical deep dive into my choice of NanoClaw over OpenClaw for the GTM dark factory
Building my own GTM dark factory for Orchestrator AI leveraging the orchestration engine with nanoclaw, claude code & more
LLMs run on repurposed gaming GPUs, through languages designed for humans, over processes built for human throughput. Imagine what happens when the stack is actually built for AI.
AI tokens cost the same in Bangalore and San Francisco. The geographic cost advantage that built India's $250B IT industry is facing a structural break ā and GCCs are next.

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Code generation is almost solved. Planning mode is getting there. Testing and guardrails are the last gaps ā and they're closing fast. The fully autonomous software development loop is closer than you think.
Engineers identify with writing code. PMs identify with writing specs. AI is automating both tasks ā but the jobs remain. The orgs that confuse tasks with jobs will lose their best people first.
The Dark Factory: Engineering Teams That Run With the Lights Off
A few engineering organisations are already operating a model most companies havenāt begun to consider. While the typical software team debates whether to adopt AI coding assistants, companies like StrongDM are running fully automated development pipelines where agents handle implementation, testing, review, and deployment. Humans set direction and define constraints. The mechanical work happensā¦
The Judgment Bottleneck: Why Direction Matters More Than Execution Speed
Watch any software team for long enough and youāll see the bottleneck move. First it was writing code. Then reviewing it. Then testing. Then deployment. Then security scanning. Each constraint gets automated, and immediately the next one becomes the problem. This cycle used to play out over years. Now itās happening in weeks. AI agents can handle spec writing, code generation, reviews, testing,ā¦
As is the case with many of Google's April Fools' jokes, this one from 2009 has also come true

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Revisiting the story of the farmer and the demon from my blog post drafts that seems to have some parallels to the ongoing AI driven technology revolution
Turning 42, and Coming Full Circle
I turned 42 this year. I donāt usually attach much meaning to birthdays, but this one did trigger a quiet pauseānot a reinvention, not a reset, just a sense of recognition. A feeling that certain instincts and interests Iāve carried for a long time were finally meeting the right conditions to be acted upon. In many ways, it felt like coming full circle. PostāIIT Bombay, I had toyed with the ideaā¦
Workflow automation with n8n seems to be the rage these days, so decided to go the self hosted route on my raspberry pi. Overcame some initial hiccups with help from Claude to get it up & running on my local network. Read on to know the steps & get the scripts.
Baahubali: The Epic
Been a while since I posted a movie review on the site, and also watched a movie in the renovated IMAX theatre in our neighbourhood. What better movie to watch on the large IMAX screen than a release of the combined Baahubali movie. Despite clocking in at nearly 4 hours (which makes it just as long as Lagaan), the film remains as fast paced and thrilling as it was originally. In fact the majorā¦
From clicks to conversations. AI Agents translate your unstructured plansāfrom docs to notesāinto action, bridging the strategy-execution gap. See how these digital teammates are revolutionizing business in my new post:

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The thrill of AI "vibe coding" often ends in chaos. GitHub's SpecKit is the fix, using spec-driven development to bring order and memory to the process. Itās a huge step for building real software with AI. My take on why this is a game-changer. #SpecDrivenDev #AI #Software
AI is replacing jobsābut which ones, and why? That question keeps resurfacing as headlines ping between panic and hype.