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Measured on six things

AI research engine for prediction markets

Design

Homepage hero is functionally empty — no headline, CTA, or value prop above a faint graph. Product UI (market cards) is scannable but cramped, with tiny low-contrast chart labels. Branding feels unfinished.

Screenshots

1 / 5

Glypse

About this app

Glypse is an AI-powered research engine for prediction markets. It analyzes over 210 million social media posts and 550 million data points across 35,300+ events to track sentiment, emotional tone, and rising names. By transforming market signals into actionable research, Glypse helps traders discover their edge. Key features include sentiment tracking over time, emotional analysis (anticipation, joy, anger, fear), side-by-side comparison of contenders, and spotting trending names. Traders use it to scout the landscape, check market temperature, weigh options, find the bear case, catch turning points, and follow threads without constant monitoring. Glypse covers major platforms like Polymarket and Kalshi, offering a free tier and account-based access. It's designed for traders, analysts, and researchers seeking a data-driven advantage in prediction markets.

Key features

1Sentiment tracking over time with emotional analysis (anticipation, joy, anger, fear) across 210M+ social posts
2Cross-venue search across Polymarket and Kalshi with fuzzy matching for people, topics, and events
3Research pages with market data, sourced timelines, bull/bear cases, and related events on both venues

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Prediction market traders

Pain points

Hard to gauge public sentiment and its evolution

Primary needs

Real-time sentiment analysis and trend detection

Demographic

Political analysts

Pain points

Difficulty comparing candidates' public perception

Primary needs

Side-by-side candidate comparison with sentiment metrics

Demographic

Crypto enthusiasts

Pain points

Identifying rising tokens before odds shift

Primary needs

Tracking emerging names and emotional sentiment

Scout Review

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

Glypse is an AI-powered sentiment and research engine for prediction markets, covering Polymarket and Kalshi with data from 210M social posts and 550M data points across 35,300+ events. The core product — market cards, research pages with bull/bear cases, cross-venue search, and sentiment tracking — is genuinely useful for traders who want an edge. The guides section is a standout, with deep educational content on prediction market mechanics and forecasting. But the homepage is a mess: empty hero, no value prop, no onboarding path. Speed is a problem — 6.3s LCP on mobile. Security basics are present but hardening is thin. Accessibility is strong at 97/100 with two fixable issues. Growth potential is real: the sentiment analytics wedge is differentiated from alternatives, and the category is expanding. Glypse has the substance; it just needs to present it better.

Measure by measure

Usability

Guides section is genuinely deep — fundamentals, market mechanics, forecasting craft, sentiment analysis. But homepage gives no onboarding path; new users land on a blank canvas with only a Sign up button as anchor.

Design

Speed

Lighthouse mobile 63/100, desktop 58/100. LCP 6.3s is nearly 3x the 'good' threshold — the page takes over six seconds to render its main content. CLS 0 and TBT 272ms are fine, but the LCP drags it down.

Security

HTTPS enforced, HSTS, CSP, and frame protection all present. Missing X-Content-Type-Options, Referrer-Policy, Permissions-Policy, SPF, and DMARC. No SOC 2, ISO, or bug bounty claims found. Solid basics, thin on hardening.

Accessibility

Lighthouse accessibility 97/100 — strong. Two failing audits: insufficient color contrast and <td> elements in a large table without headers. No a11y statement or WCAG mention found, but automated checks are excellent.

Growth

Real problem — prediction market traders lack sentiment analytics. Specific wedge: 210M social posts, emotion tracking, side-by-side comparison. Alternatives lack this depth. Category has headroom as Polymarket/Kalshi grow.

Improvement areas

Homepage hero is functionally empty — no headline, CTA, or value proposition above a faint graph
Lighthouse mobile performance 63/100 with 6.3s LCP, well above the 2.5s 'good' threshold
Missing security headers (X-Content-Type-Options, Referrer-Policy, Permissions-Policy) and SPF/DMARC records

Design & Usability

Glypse's design is a tale of two products. The actual app UI — market cards with clear titles, volumes, and probability percentages — is scannable and functional, with teal/orange pill tags that make venue and category instantly readable. But the homepage is a disaster: a functionally empty hero with no headline, no CTA, and no value proposition above a faint graph that looks like a placeholder. The visual audit called it 'poor' and it's hard to argue. Usability is similarly split. The guides section is genuinely impressive — 20+ articles covering prediction market fundamentals, market mechanics, forecasting craft, and sentiment analysis. That's real educational content, not a 'Coming soon' page. But the homepage provides zero onboarding cues. New users land on a blank canvas with only an orange Sign up button as an anchor. No demo, no walkthrough, no clear entry point. Once inside, the search bar is prominent and pre-populated, which helps. But the path from landing to value is a leap of faith.

Speed & Security

Speed is the weakest technical dimension. Lighthouse mobile performance sits at 63/100 with an LCP of 6.3 seconds — nearly three times the 'good' threshold. Desktop is even lower at 58/100. CLS is 0 and TBT is a reasonable 272ms, so the page isn't janky, it's just slow to render its main content. For a tool that traders will check frequently during market hours, six-second loads are a real friction point. Security is solid on the basics: HTTPS enforced, HSTS, CSP, and frame protection all present. But the probe found missing X-Content-Type-Options, Referrer-Policy, Permissions-Policy, SPF, and DMARC — five gaps out of twelve checklist items. No SOC 2, ISO, or bug bounty claims were found. For a tool handling trading research and account data, the fundamentals are there but the hardening is thin. Adding the missing headers and an SPF/DMARC record would be quick wins.

Accessibility & Growth

Accessibility is a genuine strength. Lighthouse scored 97/100, with only two failing audits: insufficient color contrast and <td> elements in a large table lacking headers. The contrast issue is visible in the charts — tiny low-contrast labels that fail WCAG. The table header issue means screen reader users get a wall of numbers with no context. Both are fixable. No accessibility statement or WCAG mention was found, which is a missed opportunity for a data-heavy tool. Growth potential is interesting. Prediction markets are growing, and Glypse targets a real gap: sentiment and emotion analytics for Polymarket and Kalshi traders. The alternatives listed — Polymarket Analytics and a generic market overview tool — lack this depth entirely. Glypse's wedge is concrete: 210M social posts, 550M data points, emotion classification, side-by-side contender comparison. The category has headroom as prediction markets gain mainstream traction. The main risk is trust — traders need to believe the sentiment signals are actionable, not noise. But the idea itself is differentiated and aimed at a growing need.

Conclusion

Glypse is a product with real substance buried under a weak first impression. The sentiment analytics engine, the research pages, the cross-venue search — these are features traders would actually pay for. The guides section shows the team understands the domain deeply. But the homepage fails to communicate any of this. A trader landing on glypse.ai sees a faint graph and a Sign up button. No demo, no explanation, no reason to stay. Fix the hero, add a product tour, and get the LCP under 2.5 seconds. The security headers and table accessibility are quick wins. If Glypse can present its strengths as well as it builds them, it has a real shot at becoming the default sentiment layer for prediction market traders. The foundation is there. The packaging isn't.

Suggestions for improvement

Rebuild the homepage hero with a clear headline, value proposition, and CTA — show the product, not a faint graph.
Add a product demo or interactive walkthrough so new users understand the workflow before signing up.
Fix the 6.3s LCP by optimizing images, deferring non-critical JS, and using a CDN for static assets.
Add missing security headers (X-Content-Type-Options, Referrer-Policy, Permissions-Policy) and SPF/DMARC records.

How we score

Alternatives comparison

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

	Glypse	Polymarket Analytics
Social sentiment analysis	Yes — tracks sentiment and emotion across 210M+ social posts	No — basic market data only, no sentiment tracking	No — market overview and trending events only
Cross-venue search (Polymarket + Kalshi)	Yes — fuzzy matching across both venues	Polymarket only	Market overview only, no cross-venue search
Emotional tone analysis	Yes — anticipation, joy, anger, fear classification	No	No
Research pages with bull/bear cases	Yes — sourced timelines, stakes, bull/bear cases	No — raw market data only	No
Side-by-side contender comparison	Yes — compare candidates' public perception with sentiment metrics	No	No
Free tier available	Yes — free tier and account-based access	Yes — free access	Yes — free access