Some $TAO subnets will become
massive winners.
Others will slowly die
farming emissions.
The hard part:
early on,
they often look identical.
My first framework helped me
avoid bad investments.
But it also made me miss
some huge winners.
So I rebuilt it.
Here's the exact process I now use
before risking a single TAO ๐งต
ยฃ82,000 revenue. $8,200 buyback. Month one.
Buyback wallet verified on-chain. 37 TAO.
@green_compute_ SN110 just set the standard for what month one looks like.
Framework 2.0 analysis incoming.
$TAO #Bittensor
โThey are going to be bigโ
Mog on @green_compute_ subnet 110
I watched and read all I could on this subnet. Extremely impressive team.
Already came in with oodles of recurring revenue.
bittensor:native
184 $TAO raised in 45 minutes.
At the Louvre.
By a team led by an ex-Palantir CTO and a founder published in Nature and Science.
The project:
@DeSciClaims
Their goal:
eliminate hallucinations in scientific AI.
No mainnet metrics yet.
But if team quality matters, this is one of the strongest entries I've seen coming into Bittensor.
$TAO #Bittensor
Good question.
The Taoflute column currently shows absolute burns over the last 30 days.
Personally I'd love to see burns relative to market cap and emissions as well. Raw burns only tell part of the story.
For now, we can calculate those metrics ourselves. A subnet burning 500ฯ can be far more impressive than one burning 1,500ฯ depending on its size and emissions profile.
$TAO's #1 subnet for manual Alpha burns isn't the one most people are talking about.
It's $LIUM SN51.
1,613ฯ manually burned in 30 days.
That's currently the highest number on Taoflute @TAOTemplar
I ran Framework 2.0 @lium_io
Score: 64/100.
One point below entry.
โ #1 Manual Burns
โ Haircut +36%
โ Revenue > Emissions
โ Const locked 52k Alpha PERPETUAL
The opportunity is obvious.
The risk is too:
๐ด Coverage only 14.13%
๐ด Heavy outflows
๐ด Elevated sell pressure
One metric away from becoming an entry.
Watching closely.
$TAO #Bittensor
@0xarrash Appreciate the transparency on the targets.
Glitch numbers look solid โ 8% with 1.5% drawdown is a strong risk/reward profile.
Watching this month closely. ๐
@ncbtrades BOT has been on my watchlist
First time hearing about DEUS.
Appreciate the heads-up.
The robotics sector feels like one of the most obvious long-term trends, so I'll definitely be taking a closer look.
Crypto has already changed.
Most people just haven't noticed yet.
$BTC is down more than 15%.
In previous cycles that would've meant:
โ $ETH down 25%
โ Alts down 40-60%
โ Total panic
Instead we're seeing:
โ $HYPE +26%
โ $WLD +57%
โ $ONDO +7%
โ $ENA +20%
โ $NEAR +12%
Why?
Because capital is no longer buying "crypto."
It's buying narratives.
AI.
RWA.
Revenue.
Trading infrastructure.
2021 was driven by retail speculation.
2026 is increasingly driven by institutional capital looking for products, cash flows and real-world adoption.
That's why assets like $HYPE, $ONDO and $TAO can attract capital even while Bitcoin struggles.
The most important question may no longer be:
"Where is Bitcoin going?"
But:
"Where is capital flowing?"
Because capital follows opportunity.
And the market is starting to price that in.
Bookmark this.
I think we're witnessing one of the biggest shifts in crypto market structure so far.
#Crypto #AI
Some $TAO subnets will become
massive winners.
Others will slowly die
farming emissions.
The hard part:
early on,
they often look identical.
My first framework helped me
avoid bad investments.
But it also made me miss
some huge winners.
So I rebuilt it.
Here's the exact process I now use
before risking a single TAO ๐งต
$TAO Conviction may have just become one of the most important metrics in subnet investing.
SN120 @affine_io forced me
to rethink my framework.
Framework 2.0 score:
73/100.
A strong score.
โ Built by @const_reborn
โ 879 GitHub commits
โ 80K ฯ in pool liquidity
โ Chutes integration
But then I looked at Conviction.
Affine:
โ 38% locked
โ DECAYING
Meanwhile, many of the newest Conviction leaders are sitting at:
โ 95โ100% locked
โ PERPETUAL
That gap matters.
And my current framework
doesn't capture it properly.
There's also one structural issue:
๐ด Incentive Burn: 0%
No buyback mechanism.
Miners sell daily.
The subnet is strong.
The score is strong.
But Conviction might deserve
its own category in Framework 3.0.
Not a footnote.
A pillar.
How much weight would you give Conviction?
5%?
10%?
20%?
Curious what the community thinks ๐
$TAO #Bittensor
The best $TAO buying opportunity of this cycle may still be ahead.
And that's exactly why I'm not going all-in yet.
Despite $BTC weakness, TAO continues to hold up well
against Bitcoin.
That's usually a sign of strength.
But zoom out.
The macro picture hasn't changed:
โ S&P 500 still near all-time highs
โ Summer liquidity slowdown ahead
โ Risk assets haven't seen real panic yet
Why does this matter?
Because nobody gets forced to sell when markets are making new highs.
The real opportunities appear when fear hits the system.
When SPX corrects, BTC usually follows.
And high-beta assets like $TAO
often experience their deepest discounts.
That's where I want maximum exposure.
Historically, midterm years often create
the best buying opportunities between August and November.
That's when I plan to get much more aggressive.
Not because I dislike TAO.
Because I want maximum size when fear is highest.
Bookmark this.
I think the biggest opportunity for life-changing money in $TAO is still ahead.
#Bittensor
@TAO_Talks@affine_io@const_reborn Exactly right....that's why even if my framework score is high i don't invest at the moment.... The mechanism needs to catch up to the vision. ๐
@const_reborn locked 100% of his wallet.
PERPETUAL.
Not just in his own subnet.
In Zipcode. DSperse. Apex. Teutonic. MVTRX.
Every single position. 100% of wallet. PERPETUAL
This isn't conviction in one project.
It's conviction in the entire Bittensor ecosystem.
$TAO #Bittensor
@chutes_ai Revenue per token climbing while costs drop.
That's the line that matters.
Next: enterprise contracts. Who's the first Fortune 500 paying for inference on Chutes?