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iOS 18's expanded tracking restrictions have broken attribution for 60%+ of mobile traffic, making it impossible to accurately calculate Meta and TikTok ad ROAS. Server-side tracking solutions are complex to implement and still missing 40% of conversions, causing brands to blindly scale or cut profitable campaigns.
Apple's iOS 18 privacy updates in late 2025 broke even server-side tracking, making it nearly impossible for DTC brands to attribute conversions to Meta and TikTok ads. Brands are flying blind on $50k+ monthly ad spend with 70%+ traffic from iOS.
The February 2026 iOS privacy update made Meta and Google attribution even worse, with 60-70% of conversions now showing as 'direct' or 'unknown'. Performance marketers can't justify ad spend to stakeholders when they literally cannot prove which campaigns drive revenue.
Apple's iOS 18 privacy updates in late 2025 killed what was left of mobile attribution accuracy. DTC brands can't figure out which TikTok or Meta ads actually drive sales, making it impossible to optimize ad spend beyond gut feeling and broken pixels.
E-commerce brands running Meta and TikTok ads can't accurately track conversions after iOS 18's expanded privacy features blocked even more tracking in January 2026. Attribution windows are showing 40-60% less revenue than actual Shopify orders, making it impossible to scale profitable ad campaigns or convince investors of unit economics.
iOS 18's enhanced privacy features rolled out in late 2025 have made Facebook and Google ad attribution almost useless for e-commerce brands. Marketers are flying blind with 60-70% of conversions showing as 'direct' traffic, making it impossible to know which ad spend actually drives sales.
iOS 18's enhanced privacy features broke attribution for 60% of mobile traffic, and Meta/Google's modeled conversions are off by 40-80% compared to actual orders. Store owners can't reliably calculate ROAS or know which ads actually drive sales.
After iOS 18's expanded privacy features in late 2025, ecommerce brands can only track 30-40% of their paid ad conversions accurately. This makes it impossible to calculate true ROAS and optimize ad spend across Meta, TikTok, and Google.
Since iOS 18's enhanced privacy features rolled out in late 2025, e-commerce brands report 60-70% of conversions showing as 'direct' or 'unknown' in analytics. Meta and Google attribution is essentially broken, making it impossible to know which campaigns actually drive sales and causing brands to slash ad budgets.
Meta and Google attribution became even more unreliable after iOS 18's privacy updates in late 2025, making ROAS calculations nearly impossible for DTC brands. Brands are seeing 40-60% of conversions labeled as 'direct' when they know they're from paid ads, destroying campaign optimization.
P2P payment platforms are experiencing surge in social engineering scams where users are tricked into sending money to fraudsters posing as support staff or romantic interests. Traditional rule-based fraud systems miss 60% of these contextual, behavior-based scams that cost platforms millions in chargebacks.
iOS 18's enhanced privacy features have created a black hole in attribution data, making it nearly impossible to calculate accurate customer acquisition costs or ROAS. Brands are flying blind on which marketing channels actually drive conversions, with some reporting 60-70% of sales now showing as 'direct' or 'unknown'.
After iOS 18's enhanced privacy features rolled out in late 2025, DTC brands report 60-70% of conversions showing as 'direct' or 'unknown' traffic. Facebook and Google attribution is essentially worthless, making it impossible to know which campaigns actually drive sales and causing analysis paralysis on ad budgets.
iOS 18's enhanced privacy features have made Facebook and Google attribution nearly useless, with 60-70% of conversions showing as 'direct' or 'unknown'. DTC brands are flying blind on $50k+ monthly ad spends, desperately seeking server-side attribution solutions that actually work with Apple's restrictions.
Financial institutions are seeing a 300% increase in KYC fraud attempts using AI-generated deepfake videos and documents. Legacy identity verification systems cannot distinguish between real and synthetic identities, causing both increased fraud losses and false rejections of legitimate customers.
iOS 18's expanded privacy features released late 2025 have made Meta and Google ad attribution almost completely blind, with store owners reporting 80%+ of conversions showing as 'direct' or 'unknown'. E-commerce operators can't accurately calculate ROAS anymore and are essentially flying blind on a six-figure monthly ad spend.
Meta and Google Ads attribution became completely unreliable after iOS 18's advanced privacy features rolled out in late 2025, with 70%+ of mobile traffic now showing as 'direct' in analytics. E-commerce brands are flying blind on ad spend ROI and desperately need server-side attribution solutions that actually work with the new privacy restrictions.
E-commerce stores saw 40-60% drop in tracked conversions after iOS 18.3's enhanced privacy features blocked most tracking scripts in February 2026. Meta and Google attribution is completely unreliable, making it impossible to measure ROAS accurately for small brands.
iOS 18's expanded privacy features broke what little attribution was left, and e-commerce brands can't tell which Meta/TikTok ads actually drive sales. Server-side tracking implementations are complex and most brands are flying blind, cutting profitable campaigns by mistake.
iOS 18's enhanced privacy features broke what little attribution e-commerce brands had left, making it nearly impossible to track customer journey from TikTok/Meta ads to purchase. Brands are flying blind on ad spend ROI, with attribution windows now meaningless. Server-side tracking solutions are complex to implement and still miss crucial data points that small teams need.
Companies are seeing their AI automation bills explode to $10K-50K monthly due to inefficient prompt designs, redundant API calls, and agents over-processing. Most teams don't discover the waste until the bill arrives. There's no real-time cost monitoring or optimization specifically for AI agent operations at scale.
The explosion of FedNow, RTP, and PIX instant payments has created new fraud vectors that traditional batch processing systems can't catch. Banks need sub-100ms fraud scoring before payment settlement, but current ML models are too slow or generate false positives. Fraudsters exploit the irrevocable nature of instant payments, and chargebacks aren't an option like with card networks.
After iOS 18's privacy updates in late 2025, Meta and TikTok attribution windows shortened even further, making it nearly impossible for e-commerce brands to accurately track customer journeys beyond 24 hours. Brands are flying blind on which campaigns actually drive purchases, wasting thousands on misattributed ad spend.
Crypto-adjacent businesses (NFT marketplaces, Web3 consultants, blockchain developers) are having traditional business bank accounts frozen or closed without warning in 2026 due to overzealous compliance filters. There's no transparent banking solution that understands legitimate crypto business flows versus actual money laundering.
With FedNow and RTP becoming standard, banks and fintechs can't reverse instant payments, making fraud detection critical at transaction time. Traditional rule-based systems have 30-40% false positive rates, blocking legitimate customers while fraudsters adapt faster than compliance teams can update rules.