A product update should show what changed and what to do next.
Here’s a 52-second example made with ngram: Notehub IQ, now in Blues AI.
Bring one set of release notes. Make your next update a video.
ngram.com/watch/notehub-iq-n…
Just published a Grok @Bot to remove my number from spam call lists and one to remove my personal info from public sites
Call list remover: x.ai/bot/eGVcE2autG0u6UcAwE3…
Privacy scrubber: x.ai/bot/ZSQK72Iear_ykfnpTIO…
Took seconds to set up.
This is not even taught in business schools. Such a great summary
If you want to make money in SaaS, I think there are 3 major paths.
Option A: Be a genius, a visionary, or incredibly early.
You understand where the market is going before everyone else and position yourself ahead of the wave.
Think Cursor, Lovable, Base44.
I call this buying a lottery ticket.
If you get it right, the upside is insane.
But for every company that catches the wave at exactly the right moment, how many founders spend years betting on a future that never arrives?
High risk. Massive reward.
Option B: Enter a market that already makes money.
Pick a proven market.
Customers are already paying.
Competitors are already making millions.
Demand is already validated.
Everyone will tell you:
"It's a red ocean. Too competitive."
I actually think that's a good sign.
You don't need to invent demand. You need an unfair advantage that helps you take a piece of existing demand.
For Gojiberry(dot)ai, we had two:
> A different product approach focused on high-intent leads.
> A distribution advantage that helped us get the product in front of a lot of people.
A red ocean where you know how to differentiate AND distribute can be an incredible cash machine.
Competition isn't always a reason to stay away.
Sometimes it's proof that there's money on the table.
Option C: Take something that already works and verticalize it.
Find a successful product or model and apply it to a specific niche.
Instead of building another Lovable, build the "Lovable for blue-collar businesses."
Instead of reinventing the category, you specialise it.
This can work extremely well, but there's one question you need to answer:
Why hasn't someone already won this niche?
Sometimes the answer is "nobody executed properly yet."
Sometimes the answer is "because the niche doesn't actually need it."
Most founders I meet seem obsessed with Option A and I was too.
After trying it many times, I eventually realised something:
I'm probably not the once-in-a-generation genius who's going to predict the next massive market and build a $5B company in two years.
And that's okay.
Never underestimate yourself.
But don't overestimate yourself either.
You don't need to predict the future to build a great SaaS business.
Option B is the most repeatable strategy:
> Find a market where people are already spending money.
> Understand why the existing players win.
> Then attack it with your own advantages in product, positioning, distribution, or execution.
Sometimes the biggest opportunity is sitting in the middle of a very profitable red one.
teams the real test is workflow: take your docs/screens/recordings, storyboard, then iterate fast. ngram.com is good for business comms videos.
Huge shift in video AI happening right now
Most video AI products have the same flaw... they waste your time. Sora and Veo can generate beautiful clips.
But the user experience is still the same: prompt, wait, render and realize thats not the video you want.
OpenAI says Sora generations can take hours at peak Google says a 4-second Veo 3 clip can take minutes
That is why LTX-2.3 by @LTXStudio matters
Because the real breakthrough in video AI is not just better quality. It’s the move toward real-time generation.
The LTX line has been pushing toward this for a while. In earlier LTX research, Lightricks showed **5 seconds of 24 fps video generated in 2 seconds on an H100**.
Video AI is starting to move from render queue to real time. And once that happens, the category changes.
Users will stop accepting delay. They will expect video generation to feel immediate, and iterate prompts based on visual feedback in realtime.
The winner in video AI will not just be the model with the best output. It will be the one that kills the wait.
Anish retweeted
In less than a year, I managed to get 13M+ organic views on Reddit.
It brought over 100,000 people to my website without spending a cent.
I put together a Reddit Strategy Playbook that gets me 1M+ organic impressions/month… and makes my posts show up consistently inside AI outputs (ChatGPT, Gemini, etc.).
Here’s what’s inside the playbook:
😈 How I grow my SAAS GojiberryAI with Reddit
🔥 The 3+1 post formats that always go viral
🚫 How to get traffic from 100 subs → without getting banned
🔎 My Reddit SEO method to rank in AI-generated answers
⚡ The automation flows I use to convert views into demos
🏴☠️ A little bonus just for you
Want the full 1M Views/Month Reddit Strategy (100% Organic)?
Here’s how to get it:
✅ Repost this post
✅ Comment “REDDIT”
I’ll send it straight to you.
Anish retweeted
Affiliates have generated $39,000+ for Gojiberry.ai in the past few months.
And the best part:
That number is almost doubling every month.
So I documented the entire system.
In this guide I explain:
• How we manage our affiliates
• The exact tool we use to track everything
• How we promote the program to attract new affiliates
If you want the doc:
RT + comment “AFF” and I’ll send it to you.
Your feature didn’t fail
Your communication did
Most updates are:
a paragraph
a screenshot
“we’re excited…”
Customers don’t read. They scan.
So we built Ngram: prompt → feature announcement video.
Guess how many human hours went into this video for @WisprFlow 😝
Two months into beta, the signal is loud: demand for AI-native video in business is surging.
Not because video is trendy.
Because video communicates what static docs often miss:
clearer context
faster alignment
better retention
stronger action
Launch updates land better.
Product demos become easier to understand.
Onboarding clicks faster.
Customer education actually sticks.
Most teams are not struggling to create more information.
They are struggling to make information understood.
That is the shift we are seeing with Ngram.
(Attached: active user chart)
I just turned the entire Nvidia earnings report into a video narrative simply by pasting the URL. 🤯
ngram's new 'Explainer' flow that lets you generate professional videos from any URL, PDF, or text prompt.
Link 👇
Anish retweeted
Ali's Wan 2.2 is absolutely insane 🤯
Map your voice and motion into a video clip featuring anyone with a single photo.
In this video I shape-shift between an avatar woman, Matthew Mcconaughey, Anne Hathaway, Martin Luther King Jr., and Bane.
Tools used:
- Wan 2.2 for video gen
- FreePik for image gen
- ElevenLabs for voice cloning and voice changing
Want the full prompting guide and a step-by-step tutorial video where I walk through exactly how I built it?
Like, RT, and comment "REALITY", and I'll DM it to you.
(must be following so I can dm you)
Pulled up @gokulr's AI wisdom in a blink with @PerplexityComet @perplexity_ai . Can't go back to chrome anymore.
Anish retweeted
While y'all are obsessing about Liquid Glass, did you know Apple tried to make waves in fashion with neon tracksuits and dad caps? 🤔✨
#FashionThrowback #AppleStyle #WWDC25 #LiquidGlass
Anish retweeted
1/n There are many misconceptions about India's "Next Billion Users" that keep getting repeated and accepted. These misconceptions aren't just inaccurate - they're expensive mistakes. As businesses try to serve this customer base, it's important we understand who they really are.
Reminder to those us pushing hard on whats possible with our ambiton
“If you aren't getting rejected on a daily basis, your goals aren't ambitious enough.”
— Chris Dixon (@cdixon)




















