{ "a16z_rss": { "url": "https://a16z.com/feed/", "len": 43, "error": "ERROR: HTTPError: HTTP Error 404: Not Found", "prefix": "ERROR: HTTPError: HTTP Error 404: Not Found" }, "sequoia_rss": { "url": "https://www.sequoiacap.com/feed/", "len": 168882, "error": null, "prefix": "\n\n\n\tSequoia Capital\n\t\n\thttps://sequoiacap.com/\n\tSequoia Capital\n\tMon, 01 Jun 2026 20:33:05 +0000\n\ten-US\n\t\n\thourly\t\n\t\n\t1\t\n\thttps://wordpress.org/?v=7.0\n\n\n\thttps://sequoiacap.com/wp-content/uploads/sites/6/2021/11/cropped-cropped-android-chrome-512x512-1.png?w=32\n\tSequoia Capital\n\thttps://sequoiacap.com/\n\t32\n\t32\n \n200607391\t\n\t\tListen to the Market\n\t\thttps://sequoiacap.com/article/listen-to-the-market/\n\t\t\n\t\t\n\t\tMon, 01 Jun 2026 20:32:11 +0000\n\t\t\t\thttps://sequoiacap.com/?p=22128\n\n\t\t\t\t\tThe post Listen to the Market appeared first on Sequoia Capital.

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Listen to the Market

Kalshi’s new American Power Index takes the question every cable segment fights over (who is really winning the contest for power in Washington) and answers it with a single number.

\n\tBy Alfred Lin and Abhishek Malani\t
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I’ve always been fascinated by solving problems. First, they were math problems in primary school. Then, math, physics, and engineering problems in high school. Then, applying math to decision and control problems in college. Then, applying statistical methods to forecasting problems. Today, I’ve moved on to solving complex company-building problems, but when you break down most complex problems into simpler ones, they often come down to predicting risks and forecasting expected value. Over the years, I’ve learned that the best people, groups of people, algorithms, or systems of algorithms for forecasting the future are full-spectrum signal processors rather than narrow-band signal amplifiers.

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Try a small experiment. Ask a dozen random people whether the country is drifting left or right, and you’ll get a dozen confident, incompatible answers, most of them shaped by whichever sources that person already trusts. Media outlets are competing for eyeballs. Polling tells you what people are willing to say out loud. Your feed tells you what your particular corner of the internet wants to be true. None is a reliable guide to what actually comes next. We are buried in political information and starved for political clarity.

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That gap is widening. We are wired to seek out what confirms the story we already hold. Year after year, the payoff for being loud has outrun the payoff for being right, and we’ve sorted ourselves into audiences that rarely see the same facts, let alone agree on them. When it is time for political debates, we have already picked a side, and our natural inclination is to root for our team rather than get to the truth.

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One mechanism has been consistently strong as a full-spectrum signal processor rather than a narrow-band signal amplifier: the market. Markets make people back beliefs with capital, and capital has a way of sharpening judgment that pundit commentary never will. Anyone can hold a view for free; holding a financial position costs you if you’re wrong. What comes out the other end is a price: a continuously updated consensus of everyone with money and conviction on the line, stripped of the performance that dominates everywhere else. If you care what is likely to happen rather than what is smart or fashionable to say, the price is the better witness.

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That is the case for what Kalshi launched: the Kalshi American Power Index, or KPOW. It is an S&P 500 for politics. It compresses a vast, churning system into one number you can track. KPOW runs on a scale from +50 on the Democratic side to +50 on the Republican side, and it blends two layers: a quarter of the weight reflects the certified reality of who controls the House, Senate, and presidency today, while three quarters reflects what Kalshi’s markets imply about who controls them next, assembled from six pieces, ranging from chamber control to expected seat margins to the odds of a government shutdown. The mechanics matter less than what they produce: a single line that moves when power actually shifts, not just when people comment on it.

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What we find most compelling isn’t where the number sits on a given day; it’s what happens when it moves. A poll is a still photo taken on the afternoon someone happened to ask. An index is a continuous recording. A court ruling, a primary upset, or a shock from overseas shows up as a bend in the line you can point to and size. That converts vague arguments into something testable. Did the redistricting decision actually move power, or did it just own a news cycle? You used to be able to debate that endlessly. Now there’s a measurement to debate against.

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Prediction markets built their reputation on questions with a finish line: a winner, a vote, a clear settlement. The questions that shape how we feel about the country mostly don’t have a single answer. “Which way is power tilting?” never resolves; it simply keeps shifting. An index is what allows a market to address a question like that, not by crowning a winner, but by returning a number, the way an equity index distills an entire economy into a single readable figure. Kalshi could already price the questions that end. As of today, it can price the ones that don’t.

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And none of this exists without the exchange underneath it. An index is only as trustworthy as the markets feeding it, which means it requires the kind of liquidity, regulation, and settlement infrastructure that takes years to build. Kalshi has spent those years. And once that foundation exists, an index is just the first instrument it supports. The same layer can carry a whole catalog of contracts tied to questions that the legacy financial system was never designed to touch.

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The defining questions of the coming decade, across politics, policy, technology, and markets, will mostly be the messy, never-quite-settled kind, and they’ll arrive buried in more noise than ever. The opportunity is to give people a way to measure those questions rather than just shouting past one another about them. That&" }, "accel_rss": { "url": "https://www.accel.com/insights/rss.xml", "len": 43, "error": "ERROR: HTTPError: HTTP Error 404: Not Found", "prefix": "ERROR: HTTPError: HTTP Error 404: Not Found" }, "bvp_state_cloud_2025": { "url": "https://www.bvp.com/insights/state-of-the-cloud-2025", "len": 43, "error": "ERROR: HTTPError: HTTP Error 404: Not Found", "prefix": "ERROR: HTTPError: HTTP Error 404: Not Found" }, "insight_ai_report": { "url": "https://www.insightpartners.com/insights/ai/", "len": 43, "error": "ERROR: HTTPError: HTTP Error 404: Not Found", "prefix": "ERROR: HTTPError: HTTP Error 404: Not Found" }, "meritech_kbcm_2025": { "url": "https://meritechcapital.com/2025-kbcm-saas-survey/", "len": 43, "error": "ERROR: HTTPError: HTTP Error 404: Not Found", "prefix": "ERROR: HTTPError: HTTP Error 404: Not Found" }, "crunchbase_deals": { "url": "https://news.crunchbase.com/venture/", "len": 174365, "error": null, "prefix": "\n\n\n\n \n \n \n \n \n\n \n\t\n\t\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\t\n\tVenture Archives - Crunchbase News\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\n\n\n\n\n\n\t\n\t\t\n\t\n\n\n\t\n\tAI News & Artificial Intelligence | TechCrunch\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\n\n\t\t\n\t\t\n\n\n\n\n\n\n\n\t\t\n\t\n\t\t\n\t\n\n\n\t\n\tEnterprise News | TechCrunch\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\n\n\t\t\n\t\t\n\n\n\n\n\n\n\n\t\t\n\t\t\n\n\t\t\n\n\n\n \n\n\n \n \n \n\t\n\t\n\tCB Insights Research\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\n\n\t\n\n\n\n\t\t\n\t\t\n\t\n\n\n\n\n\n\n\n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n \n\n \n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n \n \n \n\n \n\n \n \n \n \n \n\n \n\n \n\n