Anil Singh | Video Editor | Motion Designer

A few frames from a recent edit. Be brutally honest, how would you rate it out of 10? 👀

@markchepel Hydration + slopmaxxing = modern distribution strategy

@denk_tweets @beehiiv What do you think changed the most after $10M ARR. Product, distribution, or compounding trust?

we just crossed $30M ARR @beehiiv here’s the “overnight success” that took 4 years: 14 months: $0 → $1m 12 months: $1m → $5m 9 months: $5m → $10m 6 months: $10m → $15m 5 months: $15m → $20m 5 months: $20m → $25m 4 months: $25m → $30m and the $30M doesn't include the ~$15M of annualized revenue from Ads/Boosts 😏

@kiwicopple Do you think observability becomes a default layer in every AI app now?

the supabase libs now support Traces this follows the W3C standard, so it works with any compliant tracing SDK: OpenTelemetry, Sentry, Datadog, Honeycomb, etc

@nrmehta Most companies aren’t struggling with AI adoption. They’re struggling with redesigning the company around what AI makes possible.

Lots of talk about AI ROI. Seems like all of us on X are getting an Econ 101 class now, with the questions about AI spend at Uber and Microsoft. In some ways, the logic we’ve all been following is: 1. Intuitively, AI/AGI should drive massive growth in corporate profits and GDP. 2. AI-native companies like Anthropic and OpenAI are operating at revenue/employee and growth rates never before seen in business. 3. If companies “adopt” AI, they should similarly benefit. The South Park meme below is a nice summary! What’s been challenging is finding the path between token consumption and improving revenue/employee. Revenue/employee has two solves: (1) more revenue or (2) fewer employees (you can pay me later). The latter is intellectually easier to grasp. Can AI reduce employees? Do you do it discretely in a function (e.g., through customer support AI agents) or in broad brush layoffs (e.g., Meta, Block, Cloudflare)? If the latter, do you have an organizational design strategy? (e.g., “fewer managers!” or “more senior people!” or “more ICs!”) The challenge with all of these approaches is they are brand new. No one has data on how they have worked yet. Indeed, there is a risk that they make the firm less competitive long-term, hurt revenue and therefore make revenue/employee worse. But even more complex is growing the revenue in revenue/employee? So many questions come up: * Do 1000 flowers bloom? If you give a coding harness to each employee and encourage token maxing, do new ideas emerge that accelerate growth? * Should you be top down? Do you hire McKinsey et al to figure out where to focus? * Even if you made your existing products better (e.g., power through the backlog with AI), do sales grow? Or are customers fully saturated? Frankly, for many products, I want less features, not more! * Is the answer to build new products? Do you have the talent to do it? Do you have the brand? Do you have the capital base? * Are the public markets too tough to do this in? Do you need to go private to make the transformation real? No one knows the answer. But the challenge is with the aggregate spend on AI in the economy, investors are going to demand answers sooner rather than later.

@natenkgwn Do you think the best creators in the next 5 years will be the ones who treat content like art instead of survival?

personal brand + building a legit business = elite feeling i don't rely on content to make money at all and can truly create what i want on the other hand, having a cash flowing business with a great team allows me to show up & build something daily best of both worlds

Just some Short Video editing frames

@offstageemanuel Thanks man

@Editingwithanil Good frames dawg

A few frames from a recent edit. Be brutally honest, how would you rate it out of 10? 👀

@symonedits Great work man

recent frames... DM if you need a Video 📩

@dessaigne Most people weren’t lacking talent, they were lacking access. Now access is cheap. AI tools give anyone the ability to build, learn, and create. The people who win now are the ones who just start.

@MatiasMatthews AI doesn’t replace chaos. It exposes it. The real leverage isn’t the model, it’s turning tribal knowledge, hidden criteria, and messy decision-making into systems that can actually scale.

La mayoría de las conversaciones sobre IA parten desde el modelo. En la práctica, muchas veces el problema está antes: información dispersa, contexto incompleto, decisiones que dependen de tres personas, criterios que viven en la cabeza de alguien, procesos que solo funcionan cuando “la persona clave” está conectada. En LatAm eso se nota más, porque operamos con más fricción y menos holgura. Por eso me interesa menos la IA como magia y más la IA como una nueva forma de ordenar criterio.

@federicodonaton Exactly :)

@Editingwithanil btw you got creators roasting edits.. meanwhile hook stole the whole show 👽

Content creators: your edit is not the problem. Your hook is. If people leave in the first 3 seconds, no cut on beat is fixing that. Start with conflict. Start mid-sentence. Start with the end result. Then edit.

Freelancing reality no one talks about: The best clients don't come from cold outreach. They come from: -Clients who already worked with you -People who saw your public work -Referrals from people you helped for free Build the rep. Let it compound.

@itssathviksoma Fair enough

2 content ideas that convert

@joinyashi Keep cooking my man

Today I’m creating this! 🤯

@dharyaedits Good bro

SFX Only

@ken_kreatess The starting 😬

As an editor, what’s more difficult for you? A) Starting the edit B) Finishing the edit

@Yash_Edit_ Looks clean man

Animations from recent Edit

@bym1xa Thanks bro :)

@Editingwithanil This feels super professional my G 🤝

@EdgarAllanCo @masonpoe @JBlyskal @tryprofound Not a bad take on that

The hardest part used to be creating content at scale. That problem is solved. Now the challenge is, “Is your content worth surfacing at all?” Josh Blyskal (@JBlyskal ), Strategy & Research Lead at Profound (@tryprofound), on why Expertise, Experience, Authority, and Trust decide what survives in AI search.