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Proposal #77: INPUT Global - Monthly Report || October
Автор: @apakhtina · Категория: 
Governance Proposal Reports · Создано: 2026-11-04 18:16 UTC · Обновлено: 2026-11-04 18:16 UTC
📝 Описание
October 2026 Monthly Report
Hi Team, happy to share our October 2026 Monthly Report for Gonka! You can find a detailed breakdown of our results in the report here: https://www.figma.com/deck/U9MT0A9Y22SaeBAaISTvM8
This month we delivered 5 unique pieces across MENA business, global finance and US tech media, reaching a combined UVM of 1.4M. We also converted TOKEN2049 into four separate assets, and have added Share of Voice tracking against the competitor set from this month.
Secured this month: • Entrepreneur Middle East, a top tier regional business title, published David's op-ed "Sovereign AI Will Run Faster on Shared Compute". He argued that the Gulf's long-term advantage will come from how efficiently its compute is used rather than how much of it is built — reducing idle capacity, sharing infrastructure across borders, and keeping sensitive workloads on national systems while less-sensitive tasks run on shared networks. • The World Financial Review published Anastasia's op-ed "You Can Adopt AI Everywhere and Still Not Control Any of It", arguing that owning GPUs does not equal controlling compute, and that the answer is diversified access — domestic infrastructure, shared regional resources and commercial cloud, with privacy-preserving technology protecting sensitive models and data. • Grafa, the Australian finance media-tech platform, recorded an interview with David and Daniil during TOKEN2049 in Singapore on how existing hardware worldwide can be pooled into a decentralised network. It went live on YouTube, X and the Grafa site, and the outlet will reference it as a recap in its TOKEN broadcasts next year. • Anastasia appeared on A Global Tech Podcast during Tech Week in San Francisco, explaining that new GPUs are hard to acquire, run and connect while a great deal of compute worldwide sits unused or underused. The full episode is on YouTube with clips across the show's social channels. • The European Business Review featured Anastasia's expert comment in "What Leaders Should Never Delegate to AI", where she made the case for keeping quality assessment in human hands — technically competent output can still lack taste, craftsmanship and originality.
In the pipeline: • TechRadar (Tier 1) — we have written the article for both brothers and are awaiting coverage. • TechBullion — Gleb's op-ed has gone to the editors for publication. We will share the link once live. • Data Center POST — we have written and submitted David's opinion piece and are awaiting coverage. • Data Center News Asia — awaiting publication of the feature built around Daniil's TOKEN2049 talk. • Pukecast — we recorded an interview with Daniil at TOKEN2049. The team will post the episode on X; we will share the link once live.
Share of Voice: • Muck Rack recorded 5,195 articles across the decentralised AI compute category in October: Akash 62.4% (3,244), Bittensor 34.1% (1,774), io.net 2.0% (103) and Gonka 1.4% (74). The gap to the two leaders is structural, not a measure of PR performance — both are established listed tokens carrying years of automated price and market coverage. Gonka entered this set from a standing start in July. • The curves confirm it: Akash peaked at 465 articles in a single day, Bittensor at 214, with both falling back to double digits in between — the signature of price-driven syndication rather than editorial interest. io.net is the exception, flat at 2–12 a day and just 29 articles ahead of Gonka. It is the benchmark worth tracking month to month. • The more useful finding is the Industry x Brand line, which captures mentions where Gonka appears alongside category terms. It sits at zero on almost every day of the month. Gonka is being covered, but it is not yet being written into the wider conversation about decentralised AI compute — which is exactly what the category-term work and listicle placements are designed to close, and the measure we would propose watching through Q1.