Extract alpha from the best investing minds on the internet.
AI Frontrunner collects predictions and investment ideas from internet experts, reconstructs what they said over time, backtests those ideas to score each author and source, and then uses that trust layer to rank the most credible live theses and tickers in realtime.
This is an intelligence layer for public-market investing: who was right, on what, under which conditions, and whether their next idea deserves capital.
24/7
Realtime thesis monitoring
Historical
Predictions and ideas backfilled over time
Ranked
Tickers scored by source trust and thesis quality
AI Frontrunner Research Workspace
Dashboard
Source Registry
Current Ideas
Backtests
Alerts
Reports
Sources tracked
128
Internet experts and channels monitored
Ideas extracted
3,842
Historical predictions reconstructed
Ranked tickers
612
Sorted by source trust and conviction
Open alerts
27
High-trust theses changing in realtime
Current ranked theses
Trust / verdict
@allin
Power demand beneficiaries from the AI buildout
0.84
@DumbMoneyLive
Consumer rebound thesis is losing momentum
0.41
ARK Invest
AI infrastructure leaders still have asymmetric upside
0.78
Concrete example
AI buildout needs power. Power needs infrastructure.
A source argues that the AI capex boom keeps running, the US grid is underbuilt, and gas-heavy power suppliers should benefit. The system ties that thesis to names like GEV, VST, ETN, and utilities, checks how similar calls from the same source performed before, and then decides whether the new version deserves trust.
Historical source alpha on similar infrastructure calls: +18.4%
Current verdict: promote the thesis, monitor valuation risk
Rank effect: affected tickers move higher in the live conviction list
Explore the public proof layer
Start with public author, ticker, and play pages, then move into the public API docs. These surfaces are designed for discovery, SEO, and proof: who made the call, what they said, how it worked out, and how to integrate the data programmatically.
Authors
Proof-backed author pages with historical recommendations, trust scores, and right-versus-wrong analysis.
Open authors →
Tickers
Public ticker rankings driven by live plays, author conviction, and observed recommendation outcomes.
Open tickers →
Plays
Browse active and historical market plays linking one thesis to many tickers, authors, and source proofs.
Open plays →
API
Read the public API documentation, inspect command shapes, and integrate once you create an account.
Open api →
Measure who actually generates alpha
Collect predictions and investment ideas from internet experts, backtest what they said in the past, and rank authors and sources by observed investing performance.
Turn public content into live investment theses
Extract ticker exposure, thesis, direction, timing, and confidence from noisy videos, posts, interviews, and threads in a structured form.
Decide whether new ideas are worth trusting
When a source publishes a new idea, score it using that source’s actual historical track record and related thesis outcomes instead of relying on raw charisma.
Build a ranked ticker list in realtime
Continuously rank tickers by active theses, source credibility, and conviction so you can see where the strongest internet-generated opportunities are forming now.
Built for source-driven alpha discovery
Most investing tools start with a ticker. AI Frontrunner starts with the author, source, and thesis history behind the ticker, so you can tell who consistently adds signal, who destroys it, and which live ideas deserve capital today.
The output is not another noisy feed. It is a continuously refreshed ranking of theses and tickers weighted by historical source quality and current conviction.
Collect expert sources
Register internet authors, channels, and communities that regularly publish market views and stock ideas.
Reconstruct historical predictions
Backfill their old content and rebuild what they were actually arguing, buying, avoiding, or shorting over time.
Extract theses and plays
Convert raw content into structured ideas with tickers, thesis, direction, time window, and supporting rationale.
Backtest what actually worked
Compare those ideas against subsequent market data to estimate which authors and sources have historically generated alpha.
Rank current opportunities
Use historical trust, current thesis quality, and market context to keep a live ranked list of the most interesting tickers and narratives.
X / Twitter
Track recurring stock calls, macro predictions, and thesis updates from high-signal finance accounts.
Separate reflexive hype from durable retail insight by tracking which communities and authors were actually right.
YouTube
Backfill creator history, extract market-related plays from videos, and benchmark channels against forward market outcomes.
Pricing built around research depth and execution
Start with read-only access to the shared intelligence layer, move to Basic when you want alerts and Telegram workflows, and use Pro when you want to add sources and run your own AI analysis.
Free is for consumption. Basic is for operating on the shared signal layer. Pro is for building proprietary edge on top of it.
Free
Read the full intelligence layer and receive passive Telegram notifications.
Free
Start immediately
Read-only access to all dashboards and tracked sources
Explore ideas, plays, themes, and backtests
Receive passive Telegram notifications
No source creation and no interactive bot commands
Basic
Operate alerts and the Telegram workflow on top of the shared research corpus.
$14
/ month
Billed monthly
Configure alerts and notifications
Talk to the Telegram bot
Keep full read-only access to the shared research corpus
No source creation and no source analysis jobs
Pro
Add proprietary sources and run your own AI research and source-analysis pipeline.
$99
/ month
Billed monthly
Add and manage tracked sources
Run source credibility analysis and play refresh jobs
Run AI autoresearch on stocks
Run AI autoresearch on tracked data sources
Priority research automation and monitoring
Make internet investing research auditable.
AI Frontrunner is built for investors who want more than another feed of hot takes. It turns public market commentary into a ranked evidence layer with backtests, source trust, and realtime thesis monitoring.
If a source was early and right in the past, that should matter. If a source has a long history of bad calls, that should matter too. The product is built around that discipline.
Research operators
Use one evidence layer to decide which internet experts deserve analyst attention and which narratives should be ignored.
Self-directed investors
Replace scattered screenshots and notes with a ranked ticker list built from trusted sources with proven historical performance.
Trading teams
Benchmark conviction by source track record and thesis quality instead of letting the loudest narrative dominate the process.
Operator Workspace
Replace opinion streams with a trust-weighted market intelligence system.
Track expert calls, score them against history, and keep a live ranked view of the tickers and theses that matter most right now.
Designed for investors who want to extract alpha from the internet without trusting every loud account equally.