seharihari
644 posts

seharihari retweetledi

Gojek dan Grab kasih harga BEDA ke tiap orang.
Rute sama. Waktu sama. Harga beda.
Gue bandingin sama temen kemarin. Dia Rp23rb. Gue Rp31rb. SAMA PERSIS rutenya.
Ini bukan bug. Ini ALGORITMA.
Mereka tau siapa yang mau bayar lebih mahal.
Gue nemu cara biar bikin harga Gojek/Grab lebih murah dan bikin gue hemat ratusan ribu tiap bulan.
Gini caranya:
Indonesia

@volubit_id jujuurr yg begini tuh keliatan niatnya bangun, bukan cuma farming atensi
Indonesia

GM!
I don’t think the future belongs to the loudest projects.
It belongs to the projects that make powerful tools accessible.
SMEs are the backbone of every economy, yet they’re the last to get real leverage.
AI should not be a privilege for enterprises.
That’s the mission: Give small businesses time back, confidence back, and a fair shot.
Build quietly. Help loudly.

English

@kapten__monyet gua pernah, gegara ga ngeh pake cod bayarnyee, mana pas kurirnya dateng buat COD guah kaga mau nerima lagi. fuih :(
Indonesia

@mwx_ai whoooaaaaa this burn process is one of the clearest indicators that the model is working. greaatjob
English

@heyshavvv Dah di tahap kepikiran mending gaji gede ngurus bayi beneran, drpd gaji kecil ngurus bayi” gede di korporat
Indonesia

@iniheksa Imo this is the kind of boring, disciplined tokenomics I prefer 🙏🏼🥲
English

Using protocol revenue to fund token buybacks followed by permanent burns is one of the most robust value-accrual mechanisms in token design.
In this model, token burns are funded by real economic activity rather than emissions, incentives, or narrative-driven speculation. Product usage generates revenue, a predefined portion of which is systematically deployed to repurchase tokens from the open market and permanently remove them from circulation.
The mechanism produces structural effects:
🔹Permanent supply contraction, reducing long-term dilution risk.
🔹A direct linkage between protocol performance and token value, anchoring valuation to measurable usage.
🔹Establishes a closed feedback loop: usage → revenue → buyback → burn → tighter supply.
In my view, this initiative demonstrates a disciplined approach to token economics by prioritizing sustainability and embedding value capture directly at the protocol level. While no mechanism guarantees appreciation, linking token supply dynamics to real revenue provides a strong and credible foundation.
You can visit the website below to verify data on tokens that have already been burned. The site also provides additional on-chain information such as token holders, market capitalization, circulating supply, and more: mwxtoken.ai/transparency-h…
If you are interested in viewing the token’s price chart on @dexscreener or @GeckoTerminal, you can use the following smart contract address: 0x93918567cdD1bc845BE955325a43419a7C56d66f

MWX | Real-Time Alpha AI@mwx_ai
Another burn. Another proof of the loop. Total MWXT burned: 9,983 20% of marketplace revenue gets burned; supply down, value loop stronger. Built by real usage. Not hype.
English

@mwx_ai Whuhu Love seeing a loop that works even when attention is still low 🥲
English

The most beautiful thing about @mwx_ai isn’t some random metric or short-term hype. It’s the fact that the value loop actually exists and is running.
MWX isn’t printing narratives.
They’re generating real revenue from people buying AI tools on the marketplace.
That revenue gets swapped straight into $MWXT. Real business activity creating real buy pressure not just vibes, not speculation.
Then those tokens get burned. Permanent supply reduction. And yes, all of it is checkable on-chain, not “trust me bro”.
More usage on the marketplace = more revenue = more swap into $MWXT.
Business moving → token mechanics moving → supply tightening.
If you’re still judging tokens only by the chart, you’re missing the bigger picture.
What matters is whether the flywheel can keep spinning in any market.
$MWXT is building exactly that.
I’m max bidding here. NFA. ✌️
CA : 0x93918567cdD1bc845BE955325a43419a7C56d66f (BASE)

MWX | Real-Time Alpha AI@mwx_ai
Real business demand, not hype. This is what “adoption” looks like: real marketplace transactions, real users, and real tools getting picked every day. Watch the signal. The value loop follows.
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