Gorilla Ihor🦍⚡️🏛️

Gmove

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_newsroom @FranklnTempletn @HashKeyExchange GIOPn

[IOPn Newsroom @IOPn_newsroom]

LATEST: @FranklnTempletn launched grBENJI on Monday, a tokenized share class of Franklin's US government money market fund distributed through @HashKeyExchange Hong Kong under HK SFC Type 1 and Type 7 licenses and plans to extend it to Singapore, Tokyo, Dubai, and Bermuda next.

A $1.80 trillion asset manager just moved the eligibility check from the broker's paperwork to the token holder's wallet. Only wallets carrying a verified professional-investor credential clear the transfer at all.

Sovereignty is the layer that decides who is allowed to hold the asset.

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_io @JimiIOPN @hackenclub @okutrade gIOPn

[IOPn @IOPn_io]

Web3 spent a decade proving it could handle crypto. The next cycle demands real assets, real security, and real sovereignty.

@JimiIOPN joins @hackenclub and @okutrade to unpack what tokenized markets require of the underlying infrastructure.

Set your reminder 🔔

Accelerate ⋂

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@StarioniX Darth Vader

[troovex @troovex]

A new sales rep used to need three weeks to get comfortable handling customer objections — shadowing colleagues and running roleplay sessions with a manager once a week. An app built in Google AI Studio cut that down to five days.

Classic sales training scales badly: a sales manager physically can't run a roleplay session with every new hire more than once a week, and shadowing other people's calls teaches you to observe, not to act under pressure yourself.

In Google AI Studio, using Build mode, they described a simulator: an AI plays a skeptical customer with objections specific to the company's product — "too expensive," "we already work with a competitor," "I need to think about it." After every response from the new hire, the app gives instant feedback: what worked, and what sounded like a memorized script. The prototype came together in one evening; another day went into loading in real objections pulled from the CRM's past year instead of made-up examples.

New hires practice unlimited scenarios every day instead of once a week with a manager. In five days, the average new hire ran through 40+ objection scenarios — more than they used to rack up in their first three months on the job.

The difference isn't that the AI plays the customer more convincingly than a manager would. It's that you can practice at 9pm on a Sunday instead of waiting for a free slot on someone busy's calendar.

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_fdn @IOPn_io gIOPn

[IOPn Foundation @IOPn_fdn]

The next trillion-dollar market won't be built on a single application.

It will emerge where tokenized assets, AI systems, and real-world value converge.

That requires identity, trusted compute, and settlement.

@IOPn_io brings those layers together on one sovereign network.

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_io @x_furrFrancisFx IOPn

[IOPn @IOPn_io]

One foundation. Multiple layers of the digital economy.

Identity. RWAs. AI & compute.

OPN Chain is built to bring them together on infrastructure designed to scale as one ecosystem.

$IOPN.

Accelerate ⋂

[troovex @troovex]

In six weeks, an operations manager spent 6 hours a week reconciling supplier orders - email, WhatsApp, phone calls. An MVP built in Google AI Studio over a weekend cut that down to 20 minutes each morning.

Orders come in through five different channels: Supplier A texts on WhatsApp, Supplier B emails a PDF invoice, Supplier C calls and dictates changes out loud. No single system - just notes, forwards, and one person's memory of who promised what.

In Google AI Studio, using Build mode, they described the app in plain language: a form where the whole daily inflow gets pasted each morning - WhatsApp texts, forwarded emails, call transcripts. Gemini parses it into structured records: supplier, item, quantity, status, expected date - and rolls it all up into one dashboard. The prototype came together in seconds; another half-day went into wiring up real data and testing it against a real week of orders.

In the first month, the app processed over 340 order records from three suppliers. Twice, the dashboard flagged a mismatch between what was ordered and what was invoiced - before the invoice got paid.

The Google AI Studio MVP didn't replace the suppliers or the ordering process itself. It just made visible what used to exist only in scattered messages and one person's memory - and what's visible is always easier to fix than what's lost.

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_fdn Finally some good news

[IOPn Foundation @IOPn_fdn]

Introducing the IOPn Foundation.

The Foundation stewards the infrastructure behind the Internet of People, supporting builders, sovereign deployments, and the ecosystem's long-term growth.

The chain belongs to the participants. The Foundation makes that real.

More soon.

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_io @oxryan03 @IOPn_fdn 👀👀

[IOPn @IOPn_io]

Governance of OPN Chain now sits with the IOPn Foundation.

Dedicated to the long-term stewardship, education, and growth of the Internet of People.

OPN Chain builds the infrastructure. The Foundation guides its future.

Follow: @IOPn_fdn

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_io @FenrirNft Giopn

[IOPn @IOPn_io]

Perp trading is coming to OPN Chain.

PRPL brings perpetual markets on-chain, with 24/7 execution and no contract expiry.

A financial primitive, built natively on OPN Chain.

Accelerate ⋂

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@opensea mobile codes🌊

[Gorilla Ihor🦍⚡️🏛️ @IgorPokotilo]

@IOPn_io @ANovohatskii Accelerate

[IOPn @IOPn_io]

This is what OPN Chain looks like before its token:

→ 426M+ transactions on OPN Testnet
→ 36M+ registered wallets
→ 5K+ verified builders shipping on OPN Chain

Ecosystem first. Token next.

Accelerate ⋂