2–5% of sports bettors are profitable. The books limit them anyway. Find the best price on every market across Kalshi, Polymarket, and sports books. Plus the research, tools, and community to find your edge. Welcome to PredictQ

Introducing Ito: The AI Code Reviewer That Actually Runs Your Code Most AI code reviewers only read your code. Ito actually runs it. Ito is an AI-powered code review and QA agent that tests every pull request inside a real application environment. It analyzes what changed, creates a targeted test plan, runs the affected flows, and finds bugs that may never show up in a normal code review. 🔗 Key Features: • Runs your app: Tests actual application behavior, not just code diffs. • Automatic test plans: Generates targeted tests based on each PR. • Finds runtime bugs: Catches issues across APIs, authentication, databases, integrations, and user flows. • Real evidence: Provides screenshots, videos, logs, reproduction steps, and relevant code references. • Automatic retesting: Verifies whether a pushed fix actually resolves the issue. • No test scripts required: Ito handles testing without maintaining large end-to-end test suites. Ito works like an AI QA engineer inside every pull request. Instead of telling you what might break, it tests your software to find out what actually breaks.

Grok Bot is in beta! here are 100 use cases ive seen so far: 1) book meetings by writing personalized outbound in your own gmail voice, then sending the notes for you 2) take a sales play that used to take 90 minutes to 2 hours (sql audience → copy → reverse etl) and make it ~95% automated 3) build a multi-Bot gtm crew (research, outbound, forecast, inbox, slides) with weekly playbooks on top 4) run a chief-of-staff hub that routes work to a large specialist fleet 5) rebuild most of a custom crm with a small Bot crew in about a day and a half 6) run a community ops fleet that saves 20+ hours a week 7) screen 1000+ event applicants against an icp and batch-approve the fits so the room stays intentional 8) replace a pricey direct-mail saas with a Bot that handles redemptions and asks you before it spends 9) review ~200 recruiting applications into strong / mid / reject in one pass 10) automate a weekly luma + database + slack summary workflow and free up 2–3 hours a week 11) update a sales deck live from granola notes mid-call, if you stop recording 5–10 minutes early 12) localize a sales deck into a different language before a customer call 13) answer a salesforce eoq question from your phone in ~10 seconds with no laptop and no sfdc app 14) update a salesforce org chart from just a name or email 15) build a salesforce report and dashboard so you stop asking glean the same opp questions 16) search your company chat for who asked about a feature in 15 seconds instead of an hour of digging 17) get a daily brief with usage data for every person you’re talking to that day 18) coach yourself on gong calls with timestamped comments and homework before the next one 19) turn a week of gong calls into a win/loss memo with the phrases that actually closed 20) turn call questions into a living notion faq that updates every morning 21) watch linkedin for compelling events from eng / product / ai leaders and get a weekday digest of ready-to-send notes in your voice 22) send personalized linkedin connection requests from sales navigator and book meetings with eng leaders 23) map an account from linkedin + the crm and show who actually influences the deal 24) audit and rewrite a linkedin profile from your live page plus notion and slack context, with human approval before publish 25) forecast account health and catch churn early when usage looks fine on the surface but is quietly dropping 26) tier accounts with fit × warmth from salesforce into notion, then enrich contacts in batches 27) build a qbr pack: usage + tickets + open opps + a short slide narrative 28) get a daily apple search ads pacing digest and reply in-thread to have a Bot edit bids 29) scan ad performance, explain why winners work, and suggest the next tests into a notion backlog 30) watch a competitor’s pricing page and slack you when something changes 31) generate first-pass performance ads in figma that match your existing format 32) learn your writing voice from past posts and draft linkedin / x content into notion for review 33) 30 minutes after a call, send follow-up reminders (optional: in a character voice) 34) work around missing bulk-enroll permissions in outreach by driving the gui 35) record yourself doing a reply / sfdc workflow once, then have a Bot turn it into an automation 36) sync a local marketing calendar from a global webinars notion in about 2 minutes 37) assemble a customer enablement pack end to end: find the request email, download zoom recordings, summarize, drop into drive, draft the reply 38) turn a recorded demo into a tagged clip library for the next one 39) draft a security questionnaire from your public docs and flag the questions only a human can answer 40) answer “what did we promise this customer” from contracts + slack + the crm on one page

If you gave every human on Earth their own AI tutor, personalized to their learning style, available 24 hours a day in their native language, completely free, it would perhaps be the single greatest equalizer in the history of civilization.

Stephen Curry explains how he used gratitude to process being underpaid on his 4 year $44,000,000 deal while winning MVP's and titles early in his career “It’s all intentionality. It sounds so freaking cheesy and cliché because I’m talking about it right now, but this is exactly how I thought.” “I talked to my wife about it right before I signed. I had to tell myself, one, let’s keep perspective here. $44 million for four years.” “More money than my pops ever made in the league. I’d been around the league for 16 years watching my dad play. I knew how far the league had grown from when he played.” “That’s good money. Support my family. Got a lot of security. I just want to be healthy.” “Let’s focus on that, not what you’re leaving on the table or what you could have made. Don’t count anybody else’s money. At the end of the day, when you sign, that’s your decision. You’re going to rock with it.” “I tried to set that foundation for my mindset right then and there. Never renegotiate with myself afterwards. Never second-guess.” “Never come back to that moment like, ‘Oh, I should’ve, could’ve, would’ve.’ Because that’s not how life works.” “I had to be really intentional about it. It sounds so simple and fairytale because it did work out. But I give myself credit that that was the perspective I made sure I had.” “I didn’t want to let anything distract me from what could have been, what I left on the table, or what other situation could have been out there. I was still taken care of. I was still good.”

The more I learn poker, the clearer it gets: this is a skill game, and it should be legalized — maybe even taught in schools. Look at all the wildly successful people across business, entertainment, and sports. So many of them play poker. That's not a coincidence, that might be the missing piece nobody's talking about. Full ep w/ @joshluber on YT 👆 #TheFlowShow# #JeffGross# #Poker# #EP227# #PokerStrategy# #PokerLife# #Mindset# #Entrepreneurship# #FounderStory# #StartupLife# #Gaming#

We just put up the biggest Guaranteed Survivor contest in history. $21 million, with Polymarket. Now we’re changing how Survivor itself works, with two upcoming launches: 📈 The Splash Survivor Marketplace 👥 Team Entries

Today we're launching the largest guaranteed NFL Survivor contest in history, with @Polymarket: $21,000,000 up for grabs. Why try something this crazy? Well, it all started 32 years ago, when I was 6 years old, helping my dad make his Survivor picks...