>Kalshi vs monday.com
Kalshi AI Company Profile & Rankings • monday.com AI Company Profile & Rankings
AI Activity Comparison
Kalshi
Kalshi is a federally regulated prediction market platform that allows users to trade on the outcome of real-world events. The company operates as an exchange where contracts are bought and sold, with final prices settling at either $0 or $1 depending on whether the event occurs. Kalshi's markets are designed to aggregate crowd-sourced information to forecast probabilities for events in politics, economics, and current affairs. The platform has been noted for its accurate predictions, including a reported perfect record in forecasting U.S. Federal Reserve interest rate decisions. It is currently ranked among the top companies in the artificial intelligence sector and has been the subject of recent analysis regarding arbitrage opportunities with other prediction markets.
monday.com
Monday.com Ltd., stylized as monday.com, is an Israeli company that provides a cloud-based platform for work operating systems and project management software. The platform enables users to build custom applications and tools to manage various aspects of their work, including projects, processes, and team collaboration. Founded in 2012 by Roy Mann, Eran Kampf, and Eran Zinman, the company was originally named Dapulse and was developed as an internal tool for Wix.com before being spun off. It raised $150 million in a 2019 funding round and completed its initial public offering in June 2021. The company is headquartered in Tel Aviv.
Based on 4 events tracked for Kalshi over the past 30 days (3 in the past 7 days), updated in near real-time.
Kalshi versus monday.com: Live 2026 Comparison
Based on real-time data, Kalshi outperforms monday.com across both activity (3 vs 1 events this week) and community sentiment (30% vs 7%). This comparison draws on 4 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Our Hype Gap analysis shows Kalshi has more authentic positioning (gap: -2.7) compared to monday.com (2.3). Data refreshes every 5 minutes. Compare other AI companies →
Quick Answer
Kalshi is significantly better than monday.com on both activity (3 vs 1 events) and community sentiment (30% vs 7%), making it the stronger and more reliable choice for most users. Kalshi has more honest marketing (hype gap: -2.7 vs 2.3).
Head-to-Head Stats
| Metric | Kalshi | monday.com |
|---|---|---|
| Rank | #176 | #109 |
| Overall Score | 6.6 | 10.8 |
| 7-Day Events | 3 | 1 |
| 30-Day Events | 4 | 3 |
| Sentiment | 30% | 7% |
| Momentum 7d vs 30d velocity | +86% | 0% |
| Hype Score | 2.5 | 11.5 |
| Reality Score | 5.2 | 9.2 |
| Hype Gap | -2.7 | +2.3 |
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
Key Insights
Shipping Velocity
Kalshi logged 3 events this week vs monday.com's 1 — a 3.0x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 1.3x (4 vs 3), suggesting this gap is widening.
Community Sentiment
Kalshi has 30% positive sentiment vs monday.com's 7%. That 23-point gap is significant — it signals stronger user satisfaction and fewer community complaints about Kalshi.
Marketing Honesty
Kalshi's hype gap of -2.7 vs monday.com's 2.3 means Kalshi delivers on its promises — marketing claims closely match actual capabilities.
Market Position
monday.com at #109 outranks Kalshi at #176 among 2,800+ AI companies. The 67-rank gap reflects different market tiers and adoption levels.
Momentum Trend
Kalshi is accelerating (86% velocity growth) while monday.com is flat — a diverging trend worth watching.
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Why Compare Kalshi vs monday.com?
Cross-Tier Comparison
Comparing monday.com (#109) with Kalshi (#176) reveals the 67-rank gap between different market tiers. Useful for understanding what separates top-tier from emerging players.
Who Compares These Companies
Enterprise Buyers
Comparing market leader against emerging alternative to balance stability vs innovation.
"monday.com for enterprise-grade reliability, Kalshi for cutting-edge features."
Key Differences
- **Community Perception**: Kalshi has notably stronger positive sentiment (23% higher).
Making Your Decision
Consider Kalshi if you value:
- • Higher development activity
- • Stronger community sentiment
Consider monday.com if you value:
- • Proven market leadership (#109)
- • Higher substance-to-hype ratio
How Company Comparisons Work
Our comparison system analyzes real-time data across multiple dimensions to give you an objective, data-driven view of how companies stack up.
Real-Time Data Aggregation
We pull live data from 200+ verified sources including GitHub commits, arXiv research papers, product launches, Reddit discussions, and tech news. Data refreshes every 5 minutes.
Apples-to-Apples Scoring
Companies operate at different scales, so we normalize all metrics for fair comparison. Events are scored with time decay (recent events count more) and source diversity multipliers.
5-Dimension Scoring
Each event is classified across 5 dimensions, then aggregated with time decay and source diversity weighting.
Visual Comparison
We present the data in multiple formats to help different decision-making styles:
- ✓Head-to-Head Table: Direct numeric comparison of all metrics
- ✓Radar Chart: Visual shape shows strengths and weaknesses
- ✓Key Insights: AI-generated narrative explaining what the numbers mean
- ✓Hype Detection: Marketing honesty comparison (over-promise vs over-deliver)
Always Current
Unlike static "best of" lists that get stale, our comparisons update every 5 minutes. When a company ships a major release or gets negative sentiment, you'll see it reflected immediately.
Why Trust These Comparisons?
100% algorithmic: No human bias, no pay-for-ranking, no editorial interference. The data speaks for itself.
Open methodology: You can see exactly how scores are calculated and what data sources we use.
Real-time validation: Every metric is verifiable through GitHub, arXiv, Reddit, and other public sources.
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