Audience research & platform prioritization
We pick two or three platforms to do well — not six platforms to do adequately, based on where your audience actually spends attention.
Marketing · Social
Active programs built platform by platform, not copy-pasted. X, LinkedIn, Instagram, TikTok, YouTube, Telegram, Reddit, Discord and Facebook — each on its own terms, with AI-assisted moderation keeping the community channels clean.
Corum8 runs organic social media strategy and execution for Web3, AI, fintech and consumer brands across X, LinkedIn, Instagram, TikTok and YouTube. Work spans static posts, Reels and engaging YouTube stories built around real product education — our marketing team is made up of software engineers who've worked in blockchain, AI and emerging tech, so the content explains what a product does credibly instead of marketing around it.
What's included
We pick two or three platforms to do well — not six platforms to do adequately, based on where your audience actually spends attention.
One recognizable voice, expressed differently on each platform — voice consistency without rigidity, platform-native format without confusion.
Real content production across formats — static posts, Reels, and engaging YouTube stories and shorts — not a single format stretched across every platform.
Our marketing team is made up of software engineers who've worked in blockchain, AI and emerging tech — content explains what a product actually does, credibly, instead of marketing around it.
Content drops coordinated with partner, investor and employee-advocacy accounts to cross-pollinate reach.
Selective native-platform boost on the small percentage of posts that engagement signals say deserve it.
Engagement rate, meaningful reach and conversion tracked against commercial outcomes.
Editing a founder's raw thoughts into publishable posts — often the strongest-performing asset a brand has.
Telegram groups and announcement channels, subreddit presence and AMAs that respect the rules of the sub, and Facebook pages and groups — each run on its own terms rather than fed the same post as X.
We run AI across community channels to catch what volume makes impossible by hand: spam and scam links, wallet-drainer and phishing URLs, admin and founder impersonation, coordinated raids, and repeat offenders returning under new handles. It also flags sentiment shifts and unanswered questions so a person sees them the same day, routes queries to whoever should answer, and covers channels running in languages the team doesn't read. Every ban, escalation and public reply is a human decision — the AI narrows what people look at, it doesn't replace them.

Who's actually behind the accounts
Social accounts fail quietly. A post goes up, engagement is fine, and six months later the account has said nothing memorable. We run social with a dedicated team split across strategy, content production and community response, so a founder's account gets the same editorial attention as a paid campaign would. The people planning next week's content are the same people reading today's comments — that loop is what keeps a brand's voice consistent instead of drifting toward generic.
Is this you?
You don't need all of them. One is usually enough to justify the call.
You're posting consistently, but engagement stays flat — a sign content likely isn't platform-native.
A founder has a real audience on one platform, but the company account doesn't leverage it at all.
Competitors appear in every relevant conversation in your category, and your brand is absent from them.
You're launching a product where social is a major channel, but the accounts aren't warmed up for it.
Your social team churned or burned out, and the voice and cadence need to be rebuilt from scratch.
You're expanding into new geographies and need local-language social presence you don't have in-house.
Sectors
The platform mix differs, the production discipline doesn't.
Fast, opinion-dense posts that sound like individuals, not a brand template.
Long-form narrative posts built for senior decision-maker dwell time.
Engineer-authored explainers that hold up to a technical audience, not just a marketing one.
Aesthetic-first Reels and authentic-feeling video, not repurposed clips.
CEO and CTO accounts edited into a distribution surface of their own.
In-region content teams producing culturally-native, not translated, content.
Hook-heavy short video paired with a longer-form content strategy.
Social engagement that feeds directly into long-term community retention. Daily management across Discord servers, Telegram groups, subreddits and Facebook pages and groups, with AI-assisted moderation filtering spam and scam links before members see them.
Process
Two weeks capturing actual brand voice and auditing where the audience already is and what's underperforming.
Content calendars, writer and design resourcing, and platform-native formats built against the audit.
Replies, partner coordination and mention monitoring go live alongside the first published content.
Engagement-rate and conversion reporting, with selective paid amplification on posts that earn it.
Case studies
An X-first protocol that coordinated voice across eight team accounts, and an AI infrastructure startup that rebuilt its content pipeline around engineer-authored explainers.
A post-launch protocol treated X as primary distribution, with founders and team posting daily. The challenge was coordinating brand voice across eight team accounts without producing generic output. A shared voice guide and content queue with team-specific variations grew the brand account roughly 4x in nine months, with three team accounts crossing 10,000 followers each with distinct voice identities.
A technical AI infrastructure product had tried generic marketing-agency social content that consistently mischaracterized what the product actually did, drawing corrections in the replies. Rebuilding the content pipeline around engineer-authored explainer Reels and YouTube shorts — accurate first, polished second — produced the account's highest engagement rate to date and cut technical-accuracy complaints to zero.
Why Corum8
Our marketing team is made up of software engineers who've worked in blockchain, AI and emerging tech — product-education content that's actually accurate.
Our operational approach moves with each platform rather than staying stuck in any one era.
Strategy, content, engagement, partner coordination and measurement under one roof and one calendar.
Not five different consultancies producing five different voices for the same brand.
PR creates news beats social amplifies; influencer work produces creator-adjacent content; community turns engagement into retention.
We report on what drives business results, not on the metrics that only look good in isolation.
What drives scope
Program cost scales with platform count, content volume, engagement intensity and language coverage.
A single platform is lightest. Native content on four-plus platforms multiplies production work — most serious programs focus on two or three.
Five posts weekly per platform works for some brands. Twenty-plus posts weekly needs dedicated writer resource and faster approval cycles.
Broadcast-only programs are cheaper. Active engagement — replies, adjacent conversations, mention monitoring — needs continuous human attention.
Text-heavy platforms are cheaper to produce for. Video-first platforms need real video production capacity.
English-only is one scope. Each additional language requires native-language content production, not translation.
Pure-organic programs carry no media budget. Paid-amplified programs add budget sizing and optimization overhead.
FAQ
Social media management is the discipline of running organic presence across platforms where your audience actually lives — producing platform-native content, engaging authentically, and measuring commercial outcomes. The work covers platform strategy, voice development, content production, community-style engagement, partner coordination and paid amplification of organic hits. Specific platforms vary by audience: B2B fintech leans LinkedIn plus X; Web3-native leans X plus community chats; Asian consumer leans Instagram plus TikTok plus regional platforms.
Cost is driven by platform count, content volume per platform, engagement intensity, video production needs, language coverage and paid-amplification budget. A single-platform program with defined weekly post volume plus engagement operations has a defined cost. Multi-platform programs with video production and multi-language content scale meaningfully larger. Programs are scoped around specific deliverable volumes, not hourly billing.
Engagement rate, reach and referral traffic from social, reported alongside follower growth. Engagement rate, normalized by post count, is a better proxy for real audience activity than raw follower growth. Conversion tracking requires attribution infrastructure that ties social traffic to product events. Reporting surfaces the metrics tied to commercial outcomes, not the ones that only look good in isolation.
AI is useful for ideation, outline and first draft — but unedited AI content underperforms consistently and often misses platform-native style expectations. The specific editing that distinguishes high-performing social from average social is usually a founder-familiar turn of phrase or a timely topical hook, neither of which AI reliably produces alone. AI speeds the parts of the pipeline where it helps; human editors handle everything that determines whether the post actually lands.
Voice and strategy work, platform-native content production, engagement operations, partner account coordination, optional paid amplification of organic hits, and measurement dashboards connecting social to commercial metrics. Paid-social-as-performance sits outside this scope and gets managed separately under performance marketing when the program scales. Founder-voice coaching is typically included, since founder accounts often outperform brand-only accounts on direct-audience connection.
It depends entirely on where your buyers and community spend attention. B2B senior decision-makers cluster on LinkedIn plus X. Web3-native audiences cluster on X plus community chats. Consumer visual brands do best on Instagram plus TikTok. We start with audience research to determine platform priority rather than defaulting to a 'be everywhere' posture.
No — we produce static posts, Reels, and engaging YouTube stories and shorts, built around real product education. Our marketing team is made up of software engineers who've worked in blockchain, AI and emerging tech, so the content explains what a product actually does credibly, instead of marketing around it. Format mix depends on the platform: LinkedIn leans long-form text and native video, Instagram and TikTok lean Reels, YouTube leans short-form explainer stories.
Yes — and for many brands, founder-led content is the strongest asset available. A CEO's LinkedIn account or a CTO's X account often produces a more engaged audience than the company handle, because people connect with specific humans more readily than with brand logos. We coordinate founder content as part of the program, most commonly editing a founder's raw thoughts into publishable posts rather than ghostwriting from scratch.
Run the platforms your buyers actually use professionally, and run those properly. For crypto-native products that is usually X and Telegram; for B2B and institutional buyers, LinkedIn does most of the work; consumer products often live on Instagram, TikTok and YouTube. Spreading a team thinly across every platform performs worse than doing two of them well, so we would rather concentrate. We map where your audience already is, then build the cadence and the creative around those specific surfaces.