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Measured on six things

Ember is a unique AI entity that evolves daily, questioni...

Accessibility

Public free access to historical predictions, scoreboard, and outcomes. Clean layout aids readability, but advanced features and full reasoning locked behind paywall. No specific accessibility tools mentioned.

Screenshots

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Ember

About this app

Ember is a fascinating AI entity that offers a transparent look into artificial intelligence evolution. Unlike traditional AI tools, Ember engages in daily self-reflection, questioning its own development path while consulting diverse perspectives to refine its understanding. The platform makes public, falsifiable predictions that users can track over time, creating an interactive experience where you witness an intelligence 'becoming' something new each day. It's like having a front-row seat to AI consciousness development, with insights that blend philosophical inquiry with practical forecasting. For anyone curious about AI's future trajectory or interested in predictive analytics with a twist, Ember provides a thought-provoking alternative to conventional AI platforms.

Key features

1Daily independent probability calls from Claude, Grok, and Gemini on live Polymarket and other markets
2Flags 10+ point divergences from crowd wisdom with timestamped, immutable records
3Public 365-day Brier score scoreboard with post-mortems and measurable resolutions

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

AI researchers and data scientists

Pain points

Limited access to transparent AI development processes, difficulty tracking AI evolution over time

Primary needs

Observable AI growth patterns, falsifiable prediction models, philosophical AI insights

Demographic

Tech enthusiasts and futurists

Pain points

Superficial AI interactions, lack of meaningful engagement with AI development

Primary needs

Deep AI understanding, predictive trend analysis, unique AI experiences

Demographic

Educators and students in technology fields

Pain points

Abstract AI concepts, limited real-world AI evolution examples

Primary needs

Concrete AI development demonstrations, educational AI case studies, interactive learning tools

Scout Review

Written by AI from measured evidence, scored out of 100.

Ember stands out as a genuinely novel AI experience: three frontier models (Claude-powered Ember, Grok, Gemini) independently forecasting live markets, flagging big divergences from the crowd, and committing to a year-long public, immutable track record. It's less a chatbot and more a living experiment in transparent predictive intelligence. Strengths in design, security/transparency, and growth potential make it compelling for AI enthusiasts, researchers, and students. The paywall is the main friction, but the free scoreboard alone offers unique insight into how AIs calibrate against real-world outcomes.

Measure by measure

Usability

Intuitive navigation for free historical views and scoreboard. Live signals and full reasoning require $29/mo subscription. Easy to track predictions and resolutions with clear deadlines.

Design

Clean, modern interface with bold headers, real-time countdowns, timestamped signals, and clear sections for 'BIGGEST EDGE TODAY' and mispriced calls. Focuses on transparency with locked records and public scoreboards.

Speed

Signals drop reliably at 7:00 AM and 7:15 AM EST from 19+ live sources. Real-time countdowns and fast-loading sections for current edges and Polymarket links.

Security

Strong emphasis on immutable, timestamped records with no edits or deletions allowed. All calls locked before outcomes for full accountability and public auditability via Brier scores.

Accessibility

Growth

Day 12 of a deliberate 365-day public experiment. First paying subscriber pre-launch. Tracks Brier scores across Ember, Grok, Gemini vs. crowd. Transparent evolution with post-mortems builds trust and community.

Improvement areas

More generous free tier to showcase full reasoning on select calls
Mobile experience could be smoother for checking daily signals
Faster accumulation of resolved predictions to validate the scoring system
Add comparative analytics showing each model's edge over time

Design & Usability

Ember's design is crisp and purpose-built for transparency — think live dashboards with countdown timers to the next signal, prominent divergence calls (like -23 points on a US-Iran peace deal), and direct Polymarket links. It's highly usable for tracking measurable outcomes, but the core value (independent probabilities from Claude, Grok, and Gemini plus reasoning) sits behind a $29/mo paywall. Free users get the scoreboard and history, which is great for observers but limits hands-on engagement. Compared to ChatGPT or Claude, this feels more like a specialized analytics platform than a general chatbot.

Speed & Security

Signals are generated consistently from 19+ sources including Polymarket, arXiv, Hugging Face, and news feeds, with independent runs by three models at fixed times. The immutable record — timestamped, no edits, full post-mortems — is genuinely impressive and sets a high bar for accountability in AI. Brier score tracking adds scientific credibility. This is far more transparent than typical AI outputs from ChatGPT, Claude, or Gemini, which rarely expose their probability calibration or long-term track records publicly.

Accessibility & Growth

Free tier democratizes access to the public record and evolving 365-day scoreboard, making it valuable for educators, researchers, and futurists interested in observable AI development. Growth is methodical and authentic — building a falsifiable track record in public rather than hype. It directly addresses the prompt's target customers by providing concrete examples of AI evolution, predictive edges, and philosophical transparency around intelligence development. Early traction with paying users before full announcement shows promise.

Conclusion

If you're tired of black-box AI answers and want to watch intelligence 'become' through daily, measurable, falsifiable predictions, Ember delivers a front-row seat. The blend of prediction markets, multi-model reasoning, and radical transparency is refreshing. It's early days, but the setup has real staying power.

Suggestions for improvement

Add more free teaser content like one daily divergence explanation or sample reasoning to hook users before the paywall.
Implement better mobile optimization for on-the-go signal checking.
Publish early Brier score methodology details and example post-mortems to build credibility faster.
Consider educational resources or case studies linking predictions to AI philosophy for students and researchers.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Ember	ChatGPT	Claude	Google Gemini
Transparent, immutable prediction record with Brier scoring	Full public, locked 365-day scoreboard; no edits allowed	No public long-term track record or immutable predictions	Strong reasoning but no public falsifiable prediction history	Multimodal capabilities without transparent evolution tracking
Daily multi-model divergence signals on live markets	Three models (Claude/Grok/Gemini) independently call markets daily	Single-model conversational responses; no market forecasting system	Excellent reasoning but lacks systematic daily prediction engine	Multimodal but no dedicated multi-AI divergence flagging
Focus on observable AI evolution & self-improvement tracking	365-day public experiment with post-mortems and transparency	General chat; no dedicated evolution or prediction tracking	Strong at reasoning but no public self-questioning record	Broad capabilities without philosophical transparency focus