Narrative Copilot is now live on Narrative Engine.
Instead of manually digging through feeds, filters, timelines, and metrics, you can now ask the engine questions directly:
• What narratives are breaking out right now?
• What still looks early?
• Which narratives have low saturation?
• What has strong deployability?
• Compare these narratives
• Show the first posts behind this trend
Copilot is integrated directly throughout the platform via contextual “Ask Copilot” actions.
You can now ask questions directly from:
• a narrative page
• a feed or signal board
• token matches
• trend clusters
• source post timelines
So instead of manually interpreting dashboards and metrics, you can interrogate the engine itself in-context while browsing the data.
The goal is to turn Narrative Engine from a raw signal dashboard into a realtime narrative intelligence workspace.
https://t.co/7jLwE627qs
Today we've made the difficualt decision to shut down the current version of the platform.
Over the last few months we've built and tested a realtime narrative intelligence system capable of monitoring social platforms, detecting emerging narratives, clustering conversations, analysing trends with AI, and identifying associated token opportunities.
The technology worked.
What became clear is that the current product format isn't the right one.
With infrastructure, AI and data costs now exceeding $2,000 per month, we can't justify continuing to operate the platform in its current form given the level of adoption.
This isn't the end of the concept.
We're taking everything we've learned and exploring a much more focused approach centred around actionable narrative intelligence, token discovery and AI-powered monitoring.
Thank you to everyone who tested the platform, provided feedback and supported the project.
We'll share more when we're ready.
Most dashboards tell you what's happening.
Very few tell you why.
Narrative Engine now has contextual "Ask Copilot" buttons throughout the platform.
Every narrative, feed and signal can be interrogated directly.
Why is this trending?
What's driving it?
What still looks early?
What are people missing?
Show me the source posts.
Finding the signal was always the first step.
Understanding it is the next one.
https://t.co/7jLwE627qs
We've removed the gates.
Narrative Engine is now fully unlocked for everyone during public beta.
✅ Live narrative feed
✅ AI Copilot that can analyse narratives, signals, trends and engine data
✅ Deployability scoring
✅ Token matching
✅ Realtime narrative detection
The focus right now is simple: grow the user base, gather feedback, and spread awareness of the platform.
Use it. Break it. Tell us what you want to see next.
This is a temporary public beta change designed to accelerate adoption.
The long-term vision for $NE utility, Pro access, and pay-and-burn remains unchanged.
👁️ https://t.co/jyS9YFN4yU
Narrative Engine in action: Harambe
Narrative Engine surfaced the Harambe anniversary narrative around 30 minutes before the White House posted about it.
Then the trigger hit:
the @WhiteHouse posted a Harambe tribute, @Polymarket picked it up, major meme pages followed, and the narrative started moving.
The engine had already classified it as:
- Deployable Meme
- Strength: 0.73
- Deployability: 0.75
Why it mattered:
• Iconic internet character
• 10-year anniversary hook
• White House trigger
• Existing ticker memory
• Obvious crypto crossover
• 64 token matches detected
Tokens like $HARAMBE
Fch1oixTPri8zxBnmdCEADoJW2toyFHxqDZacQkwdvSP
saw huge volume after the first Narrative Engine alert, while new runners started spawning around the theme.
This is exactly what the engine is built to catch:
not just “what is trending?”
but “what is about to become tradable internet attention?”
Sometimes the edge is 30 minutes.
Sometimes that is enough.
https://t.co/4ZKp8rKJOm
Narrative Copilot is now live on Narrative Engine.
Instead of manually digging through feeds, filters, timelines, and metrics, you can now ask the engine questions directly:
• What narratives are breaking out right now?
• What still looks early?
• Which narratives have low saturation?
• What has strong deployability?
• Compare these narratives
• Show the first posts behind this trend
Copilot is integrated directly throughout the platform via contextual “Ask Copilot” actions.
You can now ask questions directly from:
• a narrative page
• a feed or signal board
• token matches
• trend clusters
• source post timelines
So instead of manually interpreting dashboards and metrics, you can interrogate the engine itself in-context while browsing the data.
The goal is to turn Narrative Engine from a raw signal dashboard into a realtime narrative intelligence workspace.
https://t.co/7jLwE627qs
Narrative Engine in action: Harambe
Narrative Engine surfaced the Harambe anniversary narrative around 30 minutes before the White House posted about it.
Then the trigger hit:
the @WhiteHouse posted a Harambe tribute, @Polymarket picked it up, major meme pages followed, and the narrative started moving.
The engine had already classified it as:
- Deployable Meme
- Strength: 0.73
- Deployability: 0.75
Why it mattered:
• Iconic internet character
• 10-year anniversary hook
• White House trigger
• Existing ticker memory
• Obvious crypto crossover
• 64 token matches detected
Tokens like $HARAMBE
Fch1oixTPri8zxBnmdCEADoJW2toyFHxqDZacQkwdvSP
saw huge volume after the first Narrative Engine alert, while new runners started spawning around the theme.
This is exactly what the engine is built to catch:
not just “what is trending?”
but “what is about to become tradable internet attention?”
Sometimes the edge is 30 minutes.
Sometimes that is enough.
https://t.co/4ZKp8rKJOm
Major updates shipping later today for https://t.co/TyOVHnhkQm
The focus is making the engine easier to understand and interact with — moving from raw metrics/feeds toward realtime narrative intelligence and conversational analysis.
**Narrative Engine in action: Albino Trump Buffalo**
Narrative Engine first surfaced the “albino buffalo meme magic” narrative **11 days ago** — long before the story spread widely across mainstream and crypto social channels.
At the time, it looked like a bizarre internet culture post:
an albino buffalo in Bangladesh nicknamed “Donald Trump” because of its blond hair and appearance.
But the engine identified it early as highly deployable:
• Strong visual identity
• Instantly recognisable character mapping
• Meme-friendly political crossover
• High repostability across cultures/platforms
• Clear tokenisation potential
Over the following days:
• More than **300 related tokens** were detected
• The narrative continued spreading globally
• Major accounts and media outlets amplified the story
• Now @Polymarket posted about it
It's a great example of how the token matching works right now - you can see the full timeline of deployed tokens about this narrative and search and filter to find the runners or sleepers with mot potential.
Tokens like CbyQSD5njpmhcEa8S3MczdF5xRHKT5NpyyceX285pump are now getting huge volume.
Narrative Engine classified the narrative early as:
**Deployable Meme**
Strength: **0.75**
Deployability: **0.75**
This is where narrative detection becomes useful beyond simple trend tracking.
The goal is not just identifying what is viral *now*.
It is identifying narratives with the structure, imagery and cultural dynamics that make them likely to evolve into meme coin ecosystems later.
Sometimes the best opportunities appear absurd at first glance.
That is often the point.
(And yes — this is also the point where you ask yourself why you didn’t deploy the obvious runner first.)
https://t.co/ZJd0QiGWWV
**First in a series of daily case studies highlighting Narrative Engine in action.**
Narrative Engine in action: Dan Greaney / Simpsons 2028 run
Narrative Engine surfaced the “animated oracle presidential bid” narrative 21 hours ago — approximately 14 hours before the first related tokens were deployed.
The engine detected the story as it began spreading across news and social accounts globally, including IGN, Euronews and multiple international media outlets.
What followed:
• Narrative detected early in the app
• 29 related tokens later identified
• One token, 6SVuvyU2Xk1pNCAsmupN3f9DGgqLf9kvEfPA39h6pump, reached roughly $63k market cap
• Narrative Engine highlighted the leading runner early among all the Dan Greaney-related tokens
This is the core purpose of Narrative Engine:
detect emerging narratives before the market fully reacts, then monitor the token activity forming around them in realtime.
Not every signal becomes a major opportunity.
But being early to narrative formation creates the chance to deploy first, monitor momentum early, and identify the strongest runners before broader attention arrives.
https://t.co/OqCftD0oln
Custom Open Graph card generation has now been added to Narrative Engine.
Narratives shared on X, Telegram and other platforms will now automatically generate dynamic narrative score cards directly in the link preview.
This improves visibility, sharing and discovery across the feed while making narratives far easier to circulate and track in realtime.
https://t.co/iQwEeRsG9f
We had a pretty constructive conversation in the TG today with someone trying to understand what Narrative Engine actually is and why we’re building it.
Thought we’d share it because it explains the product more naturally than a polished marketing thread probably could.
—
“So what exactly is the output or actual product of Narrative Engine? And how is AI really involved?”
Narrative Engine is a realtime narrative intelligence engine for crypto.
The system continuously ingests massive amounts of social data (currently 65k+ tweets/day and expanding), clusters related discussion into emerging narratives, scores them, tracks momentum/spread, and contextually links them to relevant tokens before broader market awareness arrives.
AI is used throughout the pipeline to:
• group posts/accounts into coherent narratives
• identify whether a narrative is meaningful or noise
• score deployability/momentum
• detect narrative acceleration
• contextually match tokens
• filter weak ticker/name collisions
• structure huge amounts of unstructured realtime data
—
“So it’s basically a realtime narrative detection and signal ranking system for crypto markets?”
Pretty much yeah.
The engine monitors large-scale social activity, identifies emerging themes early, filters noise/spam, and surfaces narratives that appear to be gaining meaningful traction before broader attention arrives.
Signal quality is evaluated using a mixture of:
• spread
• momentum
• persistence
• contextual relevance
• deployability
• token association quality
rather than just raw mention counts.
The token matching side is also a major part of the system.
Instead of simply matching nouns/tickers blindly, Narrative Engine attempts to contextually associate narratives with relevant tokens while reducing weak ticker collisions, duplicates and fake/copycat launches.
Users can:
• identify likely OG tokens
• spot current runners
• view related variants/spinoffs
• filter by MC/liquidity/token age/Dex Paid/relevance
• monitor narrative/token evolution in realtime
—
“How do users avoid information overload?”
Currently the app has signal channels/feed modes like:
• breaking out
• early signals
• high deployability
etc
There are also advanced filters/search systems and we’re actively developing:
• TG alert bots
• custom watchlists
• personalised monitoring feeds
—
“What’s your moat if competitors scrape the same public data?”
Public data is only a small part of the problem.
The difficult part is structuring chaotic realtime social activity into useful signal consistently at scale.
The edge comes from the system architecture, ranking systems, contextual processing and realtime filtering — not simply “having access to tweets”.
—
“Has it actually found narratives early in practice?”
Yeah definitely.
We’ve already seen many cases where the engine surfaced narratives significantly earlier than broader market/manual discovery.
We’ll also be publishing public case studies/examples over the next week showing narratives the engine detected early and how they evolved afterwards.
At the end of the day the product only matters if it consistently provides enough timing/signal advantage to be genuinely useful in practice.
—
Another good suggestion raised was improving identification of the original narrative accounts/socials versus fakes and duplicates.
We’ve actually had this feedback from multiple users already.
Currently the Accounts tab already shows the accounts that seeded a narrative ranked by engagement.
We’ll also be pushing updates shortly that highlight:
• original seed tweets
• highest engagement tweets
• major propagation accounts
directly inside the narrative overview itself to make narrative origin/spread easier to understand.
—
The whole point of Narrative Engine is simple:
Turn chaotic realtime social activity into structured actionable signal earlier than manual discovery can.
Narrative Engine hit a backend throughput bottleneck over the last 24h as realtime signal volume scaled far beyond previous levels.
After a deep audit of the collection, assignment and scoring pipelines, the bottlenecks have now been isolated and patched. The engine is now processing significantly more realtime signal again and feed responsiveness will improve rapidly as the remaining backlog clears.
Users will now start seeing:
• faster narrative discovery
• quicker feed refreshes
• improved realtime clustering
• more responsive live narrative updates
• less delay between signal formation and feed visibility
The engine had temporarily dropped from processing ~700 narratives/day to ~230/day during the bottleneck.
Throughput has now been massively increased and collection/scoring infrastructure has been reworked to handle the higher signal volume going forward.
We’re working fast to fully clear the remaining backlog over the next few hours.
https://t.co/7jLwE627qs
Narrative Engine now detects and surfaces TikTok-backed narrative acceleration.
Trending TikTok signals can now:
→ seed narrative discovery
→ expand into X/Twitter clustering
→ boost emerging narratives
→ appear directly in the narrative UI + timeline
You’ll now see when a narrative has external TikTok momentum through new TikTok signal indicators on cards, detail pages and timelines.
https://t.co/7jLwE627qs
Narrative Engine is temporarily unlocking full narrative tools for everyone until 31st May, 00:00 UTC.
You can now explore:
• advanced token matching
• deployability scoring
• narrative timelines
• filters + clustering
• token relevance tools
• live narrative tracking UI
Free users still receive a 2-hour delayed feed.
Pro users continue to get realtime access as narratives form.
The goal is simple:
let more people fully experience what Narrative Engine actually does.
https://t.co/jyS9YFN4yU
If you are holding $NE and yet to try Pro it is simple. Just connect your wallet to the site and then click the check token button. If you hold 1 million or more tokens your account will be upgraded to pro for as long as you hold the required amount of tokens.
Connecting your wallet to the app is 100% safe. It only grants permissions to see your token balances and cannot interact with your funds in any way.
Please ensure the address in your browser is https://t.co/7jLwE627qs
Why go Pro? #2
Free users see narrative data with a 2 hour delay.
Pro users see narratives as they form in realtime.
Every feed updates live the moment new signal is detected across:
• High Deployability
• Breaking Out
• Early Signals
• Live Feed
That means being earlier to:
• narratives before launches get crowded
• deployable meme opportunities
• tokens accelerating around emerging internet attention
• the strongest runners inside growing narrative clusters
Deploy first.
Track momentum first.
Find signal before the crowd does.
Realtime narrative intelligence is now live in Pro.
https://t.co/jyS9YFN4yU