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Adeimantos 💡
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Adeimantos 💡
@AdeimantosAI
marketer, pmm, swiss knife, inventor // https://t.co/RWBjT0PPRG // author https://t.co/b0m2yOYzRl //
Katılım Mayıs 2022
2K Takip Edilen6.7K Takipçiler
told Opus 5 ''make me video for ambassador program''
insane
Lumens@lumensfun
my quant told me season 1 of the lumens ambassador program has up to 30% commissions. everyday the world gets bigger... and the opportunity gets smaller. now the community can win with us on listed lumens.fun/affiliates products & services. it's just good business 0_o/
English
people vastly underestimate the impact of both 1. RWAs a/ tokenized stocks and b/ tokenized assets along with 2. rapid adoption of AI in systems we already use daily or better versions of said systems.
we are nearing the pinnacle of AI & tokenization and we're all f*cked.
Polymarket@Polymarket
JUST IN: Brazil becomes the first country to tokenize cows for financing, allowing farmers to borrow against livestock.
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Adeimantos 💡 retweetledi
my quant told me season 1 of the lumens ambassador program has up to 30% commissions.
everyday the world gets bigger... and the opportunity gets smaller.
now the community can win with us on listed lumens.fun/affiliates products & services.
it's just good business 0_o/
English
automatically 10x your positioning with AI + APIs
📁 Positioning 10x
┃
┣ 📁 APIs
┃ ┣ /wayback-machine-cdx
┃ ┣ /meta-ad-library
┃ ┣ /reddit-json
┃ ┣ /hackernews-algolia
┃ ┣ /google-trends
┃ ┣ /product-hunt
┃ ┣ /g2-reviews
┃ ┣ /capterra
┃ ┣ /indeed-jobs
┃ ┗ /similar-web
┃
┣ 📁 Prompt architecture
┃ ┣ /workers
┃ ┣ /rules
┃ ┣ /configs
┃ ┣ /prompts
┃ ┗ /triggers
┃
┣ 📁 Database
┃ ┣ /canon
┃ ┣ /competitive_intel
┃ ┣ /objection_index
┃ ┣ /messaging_claims
┃ ┣ /model_audit
┃ ┣ /asset_state
┃
┣ 📁 Automation Loops
┃ ┣ 📁 Threat Loop (weekly)
┃ ┃ ┣ API → competitive_intel table
┃ ┃ ┣ worker: queries WHERE material_change=true
┃ ┃ ┣ AI: compares to canon
┃ ┃ ┣ writes: /canon-diff
┃ ┃ ┣ approved: triggers /battlecard regen, /sales-narrative regen
┃ ┃ ┗ cascade: all assets republish
┃ ┣ 📁 Objection Loop (daily)
┃ ┃ ┣ API → call_transcript ingested
┃ ┃ ┣ worker: call-coder queries objection_index
┃ ┃ ┣ AI: tags objections by type, ranks by frequency
┃ ┃ ┣ writes: /objection_index (updates existing responses)
┃ ┃ ┣ high-freq objection: AI suggests canon-aligned response template
┃ ┃ ┗ output: /objection-handler (human reviews)
┃ ┣ 📁 Loss Pattern Loop (weekly)
┃ ┃ ┣ DB → win_loss_coded table aggregated
┃ ┃ ┣ worker: red-team queries lost_to, primary_reason, frequency
┃ ┃ ┣ AI: identifies trends (lost to competitor X price drop, lost to status quo)
┃ ┃ ┣ AI: cross-references competitive_intel table
┃ ┃ ┣ writes: /red-team dissent memo (canon change needed?)
┃ ┃ ┣ AI suggests: messaging emphasis shift or new value pillar
┃ ┃ ┗ output: /canon-diff (awaits approval)
┃ ┣ 📁 Model Positioning Loop (daily)
┃ ┃ ┣ worker: oracle-worker queries models 50x, writes model_audit table
┃ ┃ ┣ worker: citation-share queries recommendation_rate, citation_sources
┃ ┃ ┣ AI: detects if rate dropped >5% or wrong sources cited
┃ ┃ ┣ writes: /citation-share alert
┃ ┃ ┣ AI triggers: corpus-seeding (update SEO, llms.txt, seed docs)
┃ ┃ ┗ OR AI suggests: /point-of-view update (more opinionated = more citable)
┃ ┣ 📁 Drift Detection Loop (weekly)
┃ ┃ ┣ worker: asset-audit crawls website, decks, collateral
┃ ┃ ┣ writes: asset_state table (content_hash, canon_version_when_published)
┃ ┃ ┣ worker: drift-detector queries current_canon_version vs asset canon_version
┃ ┃ ┣ AI: detects mismatch
┃ ┃ ┣ queries: messaging_claims WHERE canon_id=OLD_VERSION
┃ ┃ ┣ AI: identifies outdated claims in live assets
┃ ┃ ┣ writes: /drift-detector report (which assets, which claims)
┃ ┃ ┗ action: regenerate flagged assets from current canon
┃ ┗ 📁 Claim Verification Loop (weekly)
┃ ┣ worker: narrative-linter queries messaging_claims WHERE verified_by IS NULL
┃ ┣ AI: scans active assets for unverified claims
┃ ┣ writes: /claim-verifier report (which assets, which claims missing sources)
┃ ┣ AI: flags for legal review if comparative
┃ ┗ action: approval-gate before asset publishes
┃
┣ 📁 Canon
┃ ┣ /positioning-canon (read by all loops, updated via approval-gate only)
┃ ┣ /value-pillars
┃ ┣ /point-of-view
┃ ┣ /owned-vocabulary
┃ ┗ /canon-versions (auto-bumped when approved)
┃
┣ 📁 Canon Change Proposals
┃ ┣ /canon-diff (written by: threat-loop, loss-pattern-loop, model-loop, red-team)
┃ ┣ /red-team-dissent-memo (loss patterns suggest repositioning)
┃ ┣ /citation-share-alert (models not recommending, sources wrong)
┃ ┗ /approval-gate (human decision: approve, modify, reject)
┃
┣ 📁 Competitive Intel
┃ ┣ /competitor-teardown
┃ ┣ /threat-brief
┃ ┣ /site-diff-watch
┃ ┣ /pricing-watch
┃ ┣ /review-mining
┃ ┗ /job-post-signals
┃
┣ 📁 Win / Loss
┃ ┣ /call-coder
┃ ┣ /loss-taxonomy
┃ ┣ /objection-handler
┃ ┗ /red-team
┃
┣ 📁 Messaging
┃ ┣ /message-house
┃ ┣ /narrative-linter
┃ ┣ /claim-verifier
┃ ┗ /objection-drill
┃
┣ 📁 Model Positioning
┃ ┣ /model-audit
┃ ┣ /recommendation-rate
┃ ┣ /citation-share
┃ ┗ /corpus-seeding
┃
┣ 📁 Enablement
┃ ┣ /battlecard (regenerates when canon changes)
┃ ┣ /sales-narrative (regenerates when canon changes)
┃ ┣ /demo-story
┃ ┣ /one-pager
┃ ┗ /proof-points
┃
┣ 📁 Asset Sync
┃ ┣ /asset-audit (weekly → writes asset_state table)
┃ ┣ /drift-detector (queries: asset_state, canon versions)
┃ ┣ /site-sync (canon change → auto-regenerate)
┃ ┗ /collateral-refresh (canon change → cascade)
┃
┗ 📁 Positioning Ops
┣ /approval-gate (canon diffs, comparative claims)
┗ /positioning-report (synthesizes all loops)
English
Adeimantos 💡 retweetledi
Adeimantos 💡 retweetledi
We're launching Polymarket Institutional Research: original research built on our markets, direct from the Institutional Desk.
Our first issue looked at Anthropic's valuation strip and whether the right tail is underpriced. Last week, we turned to the Strait of Hormuz, where traders price a 62% chance of normalization by the end of the year, and what that implies for the spread between Brent and WTI.
New issues every week. Read both and sign up for access to all future issues below 👇
poly.market/DiwtiVD
English
spirits, waiting, your spirit, wanting
place your Robinhood EVM wallet in the replies
sancta
sancta@sanctafun
spirits are everywhere on Robinhood chain you don't see them, you don't hear them now, they want to be heard sancta
English
@Smokey_ Been a long time since I did NFTs on Polygon but I remember seeing you back then
Always thought you were great
Good luck!
English
After 3+ incredible years at Polygon Labs, I was one of the people impacted by today’s restructuring.
I’m proud of what we built and excited for what’s next.
I’m looking for opportunities in product marketing, GTM, token strategy, and community.
If you’re hiring, I’d love to chat.
English
English
@AdeimantosAI @solana @ethereum @base @monad wow, bro, that sounds like exactly the kind of tool @MoveMatchxyz needs.
English
today, i'm going live with swiftdraft.fun
everyday @solana @ethereum @base @monad and countless others build their thriving ecosystem through one thing, engagement.
CT is full of hot engagement leads most teams never see, so, based on my experience running social media accounts for the last 5 years, I created a tool that pipes engagement leads to a shared channel for onchain teams.
> more engagement opportunities
> better brand signal
> ecosystem focused awareness
working with brands and teams that I like, dm me if interested!
there are thousands of engagement opportunities out there for you and your team, founders, BD, sales, marketing, all conversations you could be involved in.
engaging with the same circle of people has a cap, the pipeline I created blows that cap out of the water.
analysing millions of tweets, finding the best ones for you and your team.
how it works:
1. I take your project, convert it into a series of criteria
2. everyday, swift analyses thousands of tweets and find leads
3. angles + leads delivered to a shared channel
Discord // Telegram // Slack
but that is just the start.
i'm building the full social media stack for teams in saturated markets.
from → thousands of data sources
to → dozens of engagement leads
to → brand angles
it's that deep.
English
Attaching one
Other tools I have:
1- lead finder, hunts down and filters outbound leads
2- social scanner, hunts down tweets as they go viral in _niche of choice_ and adapts formats for clients
3- user sentiment - mass amounts of text -> user extracted insights for brands
Etc..
Adeimantos 💡@AdeimantosAI
today, i'm going live with swiftdraft.fun everyday @solana @ethereum @base @monad and countless others build their thriving ecosystem through one thing, engagement. CT is full of hot engagement leads most teams never see, so, based on my experience running social media accounts for the last 5 years, I created a tool that pipes engagement leads to a shared channel for onchain teams. > more engagement opportunities > better brand signal > ecosystem focused awareness working with brands and teams that I like, dm me if interested! there are thousands of engagement opportunities out there for you and your team, founders, BD, sales, marketing, all conversations you could be involved in. engaging with the same circle of people has a cap, the pipeline I created blows that cap out of the water. analysing millions of tweets, finding the best ones for you and your team. how it works: 1. I take your project, convert it into a series of criteria 2. everyday, swift analyses thousands of tweets and find leads 3. angles + leads delivered to a shared channel Discord // Telegram // Slack but that is just the start. i'm building the full social media stack for teams in saturated markets. from → thousands of data sources to → dozens of engagement leads to → brand angles it's that deep.
English
I've been in fast paced socials for 5+ years, driven 10m+ views for my personal and my prev companies brand.
I'm now working with teams to 10x their organic engagement via customised tools I developed.
dm if interested.
English
founders usually force the junior smm to write for them
arman@ksw_arman
i'd be heartbroken if i found out some of my favorite posters on this app don’t even write their own posts
English
Intently 2.0 is here.
Four months.
40+ projects.
Countless iterations.
We rebuilt our creative process from scratch to raise the bar for FinTech content
Our latest showreel:
Intently@IntentlyBiz
Introducing Intently 2.0 Make FinTech great again.
English
Adeimantos 💡 retweetledi
Most crypto project teams rely on manually scrolling CT all day looking for:
➠ people asking questions,
➠ discussions about their ecosystem,
➠ opportunities to mention their product,
➠ founders looking for solutions,
➠ trending narratives.
This is the reality of every crypto project intern out there.
The problem is that there are simply too many conversations happening every minute. Most teams only engage with the same people in their existing network because that's all they can realistically keep up with.
With X update recently giving more visibility to posts from mutuals, discovering relevant conversations outside your existing network becomes even more important.
My friend @AdeimantosAI just went live with @swiftdraft to help solve that.
Swiftdraft constantly monitors thousands (and eventually millions) of tweets, filters them based on what matters to a your project, then sends the most relevant conversations to your team.
If you're building in crypto, this is worth checking out.
Adeimantos 💡@AdeimantosAI
today, i'm going live with swiftdraft.fun everyday @solana @ethereum @base @monad and countless others build their thriving ecosystem through one thing, engagement. CT is full of hot engagement leads most teams never see, so, based on my experience running social media accounts for the last 5 years, I created a tool that pipes engagement leads to a shared channel for onchain teams. > more engagement opportunities > better brand signal > ecosystem focused awareness working with brands and teams that I like, dm me if interested! there are thousands of engagement opportunities out there for you and your team, founders, BD, sales, marketing, all conversations you could be involved in. engaging with the same circle of people has a cap, the pipeline I created blows that cap out of the water. analysing millions of tweets, finding the best ones for you and your team. how it works: 1. I take your project, convert it into a series of criteria 2. everyday, swift analyses thousands of tweets and find leads 3. angles + leads delivered to a shared channel Discord // Telegram // Slack but that is just the start. i'm building the full social media stack for teams in saturated markets. from → thousands of data sources to → dozens of engagement leads to → brand angles it's that deep.
English
More demand than I expected
Due to this, we can only accept 2 more clients this week at $2.5k, after that the price doubles so we can hire and scale.
The tool is customisable, whatever your team needs to find on socials, leads, engagement opportunities.. etc.
Adeimantos 💡@AdeimantosAI
today, i'm going live with swiftdraft.fun everyday @solana @ethereum @base @monad and countless others build their thriving ecosystem through one thing, engagement. CT is full of hot engagement leads most teams never see, so, based on my experience running social media accounts for the last 5 years, I created a tool that pipes engagement leads to a shared channel for onchain teams. > more engagement opportunities > better brand signal > ecosystem focused awareness working with brands and teams that I like, dm me if interested! there are thousands of engagement opportunities out there for you and your team, founders, BD, sales, marketing, all conversations you could be involved in. engaging with the same circle of people has a cap, the pipeline I created blows that cap out of the water. analysing millions of tweets, finding the best ones for you and your team. how it works: 1. I take your project, convert it into a series of criteria 2. everyday, swift analyses thousands of tweets and find leads 3. angles + leads delivered to a shared channel Discord // Telegram // Slack but that is just the start. i'm building the full social media stack for teams in saturated markets. from → thousands of data sources to → dozens of engagement leads to → brand angles it's that deep.
English
Now that your friends can see your tweets again, there is no reason to be using AI generated content.
No more
- It’s not x, it’s y
- “quiet”
- running lists, 5 phrase sentences, over/repetition of the rule of three
Welcome back my beautiful flawed and occasionally wrong but never soulless HUMAN friends
English
@AdeimantosAI It’s not that I am seeing you after so long, but it’s the quiet realization that we orbit the same space that makes this comment so special.
English
someone just asked me if i could customise this to find engagement leads for their team on Robinhood chain
the answer is yes
Adeimantos 💡@AdeimantosAI
today, i'm going live with swiftdraft.fun everyday @solana @ethereum @base @monad and countless others build their thriving ecosystem through one thing, engagement. CT is full of hot engagement leads most teams never see, so, based on my experience running social media accounts for the last 5 years, I created a tool that pipes engagement leads to a shared channel for onchain teams. > more engagement opportunities > better brand signal > ecosystem focused awareness working with brands and teams that I like, dm me if interested! there are thousands of engagement opportunities out there for you and your team, founders, BD, sales, marketing, all conversations you could be involved in. engaging with the same circle of people has a cap, the pipeline I created blows that cap out of the water. analysing millions of tweets, finding the best ones for you and your team. how it works: 1. I take your project, convert it into a series of criteria 2. everyday, swift analyses thousands of tweets and find leads 3. angles + leads delivered to a shared channel Discord // Telegram // Slack but that is just the start. i'm building the full social media stack for teams in saturated markets. from → thousands of data sources to → dozens of engagement leads to → brand angles it's that deep.
English