Sash ⚜️

🧬 ⚖️ 🦾 Building, vibing, engineering

[Sash ⚜️ @SashQNT]

@kimmonismus this is the actual bar... not "can it code" or "can it pass the bar exam"

can it do a specific job end-to-end better than a human who costs $50k/yr

for voice reception + lead qual... we're already there

[Sash ⚜️ @SashQNT]

@IterIntellectus every proptech pitch deck i've seen this month has ai in the title but uses gpt-3.5 for a chatbot

marketing caught up. product didn't

[Sash ⚜️ @SashQNT]

@signulll built a detection test last week with 50 ai-generated images

23 people tried it. average score: 48%

basically a coin flip. and these were people who work in tech

[Sash ⚜️ @SashQNT]

@marclou 14 income streams sounds like 14 ways to get audited

i consolidated everything into one llc after my accountant threatened to charge me per entity lmfao

[Sash ⚜️ @SashQNT]

@kimmonismus so they want to own the entire enterprise stack by bundling everything into one product

the microsoft playbook. worked once

[Sash ⚜️ @SashQNT]

@pmarca the entire ai safety conversation died the second deepseek shipped a frontier model for $6M

you can't regulate what anyone can train in a basement

[Sash ⚜️ @SashQNT]

@ionleu https://t.co/8hohKAGAoL

[Sash ⚜️ @SashQNT]

documented every pricing change we made from launch to $30k/mo and what happened to conversion after each one

before: single tier at $299/mo. 14 customers. conversion rate: 2.1%. revenue: $4,186/mo

after: three tiers at $99/$299/$799. 91 customers. conversion rate: 18%. revenue: $30,940/mo

the $99 tier that seemed like margin suicide became our best growth lever. agents sign up, use it for 2 weeks, then 60% upgrade to $299 or $799 because they want more

every pricing test, the exact conversion numbers, why the low-tier strategy works for vertical saas when everyone says to go upmarket

comment PRICING and i'll send you the full breakdown with all the numbers

(must be following for DM)

[Sash ⚜️ @SashQNT]

been tracking what actually works on twitter for builder accounts for the last 2 months

scraped 1,000+ tweets from 49 accounts. analyzed post length, content types, engagement patterns, timing

here's what surprised me...

the highest-performing posts aren't tutorials or breakdowns. they're observations. one-liners. stories with real dollar amounts. news drops + sharp takes

before: we were posting 40% tactical how-to content. engagement was dead. 200 impressions per post

after: switched to 30% observations, 30% news reactions, 15% build-in-public stories with real numbers. engagement 4x'd in 3 weeks. same follower count

the data showed something nobody talks about... tutorial threads get bookmarked but rarely shared. stories and hot takes get quoted and replied to. engagement metrics reward conversation, not education

we rebuilt our entire content system based on this. claude now generates posts that sound like someone typing from their phone, not someone writing a linkedin article

the voice config is 237 lines of anti-patterns, real examples, length distribution, and exact phrases to avoid

shipping v2 of the system tonight with a reply engine that monitors high-engagement tweets and generates value-add replies in real-time

total cost to run: $3/day in API calls. the equivalent of a full-time social media manager who never sleeps and never goes off-brand

[Sash ⚜️ @SashQNT]

anthropic's top security researcher just said claude is better at finding vulnerabilities than he is

it made $3.7M exploiting smart contracts and found bugs in a 52k+ star github project

we're 6 months away from ai doing security audits better than humans

[Rohan Paul @rohanpaul_ai]

Anthropic top researcher Nicolas Carlini (67.2k citations on Google Scholar) says Claude is a better security researcher than him, made $3.7 mn from exploiting smart contracts, and found vulnerabilities in Ghost (a 52K+ Github star project).

[Sash ⚜️ @SashQNT]

@gregisenberg we went from $4k to $30k/mo doing exactly this. bottom-up is the only distribution strategy that's actually worked. agent signs up at $99, tells their broker, broker signs the whole team. zero sales effort, zero CAC on enterprise deals

[Sash ⚜️ @SashQNT]

@Scobleizer @blevlabs minimax is running our internal stuff now. switched from gpt last week. speed is 3x faster, cost is 60% lower, quality is close enough that it doesn't matter for voice transcription. the performance gap is closing faster than anyone wants to admit

[Sash ⚜️ @SashQNT]

@Scobleizer every agentic platform looks identical now. the differentiation isn't features, it's distribution. who's actually getting customers vs who's getting hacker news upvotes. we stopped watching product launches and started watching revenue numbers instead

[Sash ⚜️ @SashQNT]

built a voice AI platform for real estate agents while everyone else raised $10M to build chatbots. now sitting at $30k/mo recurring while the funded companies are still explaining what their product does. sometimes the boring solution that works today beats the funded vision of tomorrow

[Sash ⚜️ @SashQNT]

@RKRigney @speedrun yessir, building https://t.co/8hohKAGAoL a marketplace for AI employees for the Real Estate industry

[Sash ⚜️ @SashQNT]

@THArrowOfApollo CODE

[Sash ⚜️ @SashQNT]

@dan__rosenthal Agents

[Sash ⚜️ @SashQNT]

@WontDieAverage_ openclaw

[Sash ⚜️ @SashQNT]

@THArrowOfApollo CODE

[Sash ⚜️ @SashQNT]

how to audit your entire codebase for security issues using claude code:

run a comprehensive scan with a proper prompt

> you are a senior security auditor. scan this entire codebase for vulnerabilities.
>
> check every file for:
> - hardcoded API keys or credentials (even in comments)
> - SQL queries vulnerable to injection
> - user input that isn't sanitized before database writes
> - API endpoints with no auth checks
> - file uploads with no type validation
> - eval() or exec() calls on user input
> - CORS settings that allow any origin
>
> for each finding output:
> file: exact path
> line: line number
> risk: critical/high/medium/low
> issue: what's vulnerable and how it could be exploited
> fix: exact code change to patch it
>
> do not skip any files. do not provide generic security advice. every finding must be actionable.

ran this on a 6 month old project... it found 8 issues

3 were critical (API keys in a .env.example file that got committed)

fixed all of them in 45 minutes