JJ

Perangkai Media @kapitulis. Terkadang main basket & bersepedah ria. #BS4L

[Yose Rizal @yoseazka]

Watching this made my day.

She’s not “tech-savvy”. She doesn’t talk in jargon.
She just runs a small coffee shop and tries to survive rising costs.

Before CreateWhiz, content felt expensive. If done manually, the cost adds up fast.

Now she can create good content in minutes, save money, and focus on what actually matters: selling and serving customers.

This is why we build MWX.
AI should help the people who never had time to “learn tech” in the first place.

[JJ @syahrialdi]

@yoseazka Building for normal people is harder than building for experts

[JJ @syahrialdi]

@mwx_ai Real adoption starts in places most CT never looks at

[MWX | Real-Time Alpha AI @mwx_ai]

Utility > narrative.

Rani in Kupang, Indonesia, runs her cake shop with FinanceWhiz helping her stay on top of finances and decisions.

SMEs paying for AI tools today is the signal.

[JJ @syahrialdi]

@mwx_ai If users still buy tools, it should keep moving regardless

[MWX | Real-Time Alpha AI @mwx_ai]

If it’s real, it’s trackable.

MWXT runs on a revenue-backed loop: swaps + burns, on-chain.

[JJ @syahrialdi]

@iniheksa Even with buyback + burn, price action can lag if market doesn’t care yet, patience required

[Heksa🇮🇩 @iniheksa]

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: https://t.co/Ugfxb7TZwx

If you are interested in viewing the token’s price chart on @dexscreener or @GeckoTerminal, you can use the following smart contract address: 0x93918567cdD1bc845BE955325a43419a7C56d66f

[JJ @syahrialdi]

@mwx_ai If it’s 20% revenue burned, what’s the remaining split used for ops and growth

[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.

[JJ @syahrialdi]

@mwx_ai This could shorten the feedback loop significantly

[MWX | Real-Time Alpha AI @mwx_ai]

Competitor next door is always packed…and your “market research” takes days?

That’s not research, that’s lost momentum.

SmartWhiz turns social listening + competitor intelligence into actionable insights, fast and without needing a big team.

Starting at $6.

[JJ @syahrialdi]

@volubit_id Pendekatan ke UMKM itu unik. Kalau berhasil scale, potensinya gede

[JJ @syahrialdi]

@mwx_ai Turning raw data into clean reports is a solid use case

[MWX | Real-Time Alpha AI @mwx_ai]

When you’re drowning in financial reports and your team is…vibing.
That’s your signal to automate.

ReportWhiz turns messy bookkeeping into clean reports in minutes just for $4.92.

Less manual chaos. More time to run the business.