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- Giga AI's "Share-to-Unlock" Waitlist Growth Hack for Viral Launches
Giga AI's "Share-to-Unlock" Waitlist Growth Hack for Viral Launches
PLUS: The Basics of Landing Pages
GigaMind's launch post achieved 349.4K views by creating a perfect growth loop that turns waitlist friction into viral momentum.

Giga AI's free Claude Code announcement
This simple waitlist growth hack didn't rely on luck. It was engineered.
Giga AI announced a compelling offer: free access to Claude Code, funded by ads. But instead of just collecting emails, they turned their waitlist into a promotion engine.
Here’s how they did it.
Traditional waitlists are passive graveyards. You collect emails. Nothing happens. Meanwhile, Giga AI's waitlist requires action at each step.
Getting on the waitlist was simple. But moving up the list required action. To get priority access, users had to complete a 3-step process:
Follow the creator, @NamanyayG on X - Building the creator's audience.
Retweet and comment on the original launch post - Amplifying reach through social proof.
Submit their X profile to verify the steps - Qualifying high-intent users.

Giga AI waitlist page showing 3 steps to get early access
This turned every interested user into an active promoter. Each retweet and comment signaled to the X algorithm that the post was valuable, amplifying its reach exponentially. It created a viral loop. More sign-ups led to more engagement, which created more visibility and drove even more sign-ups.
How VC Credits Make "Free" Claude Code Profitable
A clever growth hack needs a powerful incentive. Giga AI’s offer was giving away access to an advanced AI model (Claude Sonnet 4.5) for free.
This sounds expensive. But for many VC-backed startups, it isn't.
As the founder explained, startups often receive hundreds of thousands of dollars in AWS and GCP credits. These credits cover the high inference costs of running AI models, allowing them to offer the service for free to capture market share.

Tweet explaining how VC-backed startups use AWS/GCP credits for free inference
Instead of charging users per token, charge advertisers per impression. Users get world-class AI free. Advertisers get relevant placement. Giga AI gets scale, all while running on free cloud infrastructure.
It's the oldest business model (advertising) disrupting the newest industry (AI).
This strategy is a masterclass in modern product launches. Most launches optimize for signups. This one optimized for reach. The difference shows in the numbers.
The waitlist mechanic creates real urgency without artificial scarcity. Spots aren't limited, but position is. Everyone can join, but not everyone gets in fast.
Moreover, each task aligns perfectly with X's engagement algorithm. Follows, retweets, and comments are exactly what the platform rewards. The strategy and distribution channel matched perfectly.
It combines a high-value offer with a low-friction viral mechanism. Instead of just asking for an email, Giga AI asked for engagement and rewarded users for it. The result wasn't just a long waitlist; it was a launch that marketed itself.
The takeaway is clear. Don't just build a waitlist. Build a system that incentivizes your first users to become your best marketers.
Top Tweets of the day
1/
many people reach out asking for a DB of creators
if they're on a DB, you don't have an arbitrage anymore
the only reason to use creators over paid ads is:
- its hard to scale creator programs / needs bitch work because managing humans
- under-utilized by big brandsso
— Rohan Dave (@rohandave_)
7:19 AM • Oct 25, 2025
To find arbitrage opportunity, you have to do more manual work or you have to find a loophole.
2/
- Background music for youtubers / short form creators
- Ads with music with funny lyrics
- Production Studios (I know people at huge prod studios who are secretly obsessed with AI generated music)
- Mass Uploading to Spotify and gaming the payout system (Slowly becoming harder,— Riley Brown (@rileybrown_ai)
6:32 PM • Oct 24, 2025
Suno AI is a massive opportunity. Whenever a new tech comes, you can make a lot of money by mass creating with it and uploading it to a platform where it can be monetized like many did with Spotify.
3/
“Companies who are sensitive to pricing are not the target market”
^ Smart comment from a solo founder yesterday.
A common early mistake is founders over-indexing on price sensitivity.
Remember that some people are just cheap. That doesn’t mean others will not pay full price.
— weisser (@julianweisser)
3:14 PM • Oct 23, 2025
Claude makes a lot of money because of that single line. They have found out that there is no correlation between price sensitivity and value received. So they charge tons more than competition.
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