When DeepSeek fell into a trust crisis due to the output of false scientific information, countless traders relying on AI for research suddenly realized: the biggest trap in the information age is not too little information, but that false information is too convincing. However, in front of the Altlayer booth at last year's Token2049 summit in Singapore, the "rumor verification system" showcased by Rumour.app had already provided the antidote—it anchors the truth with on-chain data, helping traders avoid the pitfalls of false news while also allowing them to lock in opportunities for potential stocks in advance, making "early insight" no longer reliant on luck.
During Token2049, the most eye-catching rumor about Rumour.app was not its collaboration plan with leading exchanges, but a core mechanism to combat "information illusion." At the time, a participant tested it on-site: inputting the false rumor that "a certain AI company will cooperate with a crypto giant," the platform immediately triggered a warning, marking not only that the "publisher's credit rating is less than 3 stars," but also displaying verification data such as "no on-chain interaction record between the two parties" and "no fund movement in the giant's wallet," ultimately giving a credibility score of 15 points. This stood in stark contrast to another real case at the site: after the rumor that "Palantir will increase investment in AI + crypto data analysis" emerged, the platform quickly captured the statement in its financial report about "sustained growth in AI demand" and the code collaboration records with blockchain companies, with the score gradually rising from 40 points to 85 points; subsequently, the stock's 380% annual increase confirmed the value of this mechanism.
More importantly, the 'potential stock identification formula' publicly disclosed by Rumour.app at Token2049 enables ordinary traders to replicate the stock selection logic of professional institutions. The platform binds rumors with three major dimensions: 'funding trends, business relevance, and policy adaptation'. For instance, before AppLovin's stock price surged by 758% in 2024, a rumor appeared on Rumour.app stating 'advertising AI engines will land in cryptocurrency marketing scenarios', and the associated data showed that the technical authorization volume of its AXON 2.0 engine increased by 66% month-on-month, and a cryptocurrency project transferred a cooperation deposit to its wallet. This combination of 'rumors + solid data' allowed users who positioned early to secure multiple returns before its market capitalization exceeded $110 billion.
In terms of risk avoidance, Rumour.app also performs excellently. Earlier this year, the rumor that 'a certain Memecoin will receive investment from AppLovin' went viral, and many traders nearly followed suit, but Rumour.app's verification system quickly identified flaws: despite the rumor's high popularity, there were no records of relevant tokens entering AppLovin's investment department wallet, and its financial report clearly stated 'focusing on advertising AI rather than cryptocurrency investment', with the score remaining below 20. Ultimately, this rumor was confirmed to be hype, and users who saw the warning in advance successfully avoided the subsequent crash.
As a trader who has been deeply involved in the cryptocurrency market for many years, I have long transformed Rumour.app into a 'dual engine for avoiding pitfalls and gold mining' and summarized the practical skills learned during Token2049. I regularly focus on monitoring two types of rumors: first, 'policy-sensitive', such as the rumor on Rumour.app that 'the U.S. will relax cryptocurrency regulation' appearing before Trump's election, where the platform simultaneously linked data showing Robinhood's cryptocurrency trading revenue increased by 165%, decisively positioning when the score broke 80, ultimately achieving more than double the increase in its stock price; second, 'technology implementation', like the rumor that 'a certain Layer 2 will integrate an AI settlement system', which will focus on the frequency of code submissions and testnet data verified by the platform, avoiding being misled by hype over 'paper talk'.
My trading strategy is simple: use the credibility score as an entry 'traffic light'—rumors with a score above 80 and accompanied by net on-chain capital inflow, deploy with a 20% position; track and observe rumors scoring between 50-80, and act only after key data verification; ignore rumors below 50. The opportunity at the end of last year when MicroStrategy's stock price skyrocketed by 467% was captured this way: when the rumor on Rumour.app that 'it will continue to increase its Bitcoin holdings' met the scoring criteria, along with the data showing its Bitcoin holdings exceeding 440,000, I decisively entered, perfectly avoiding the awkwardness of 'buying high and waiting'.
From the exposure of the Token2049 concept to real-world validation in 2024, the value of Rumour.app becomes increasingly clear: it is not just a simple news aggregator, but a trader's 'information bodyguard' and 'opportunity catcher'. In a market where AI generates illusions and false information is rampant, it anchors the truth with data, simplifies decision-making with scoring, allowing ordinary traders to avoid DeepSeek-style information traps while seizing hundred-fold stock opportunities like AppLovin and Palantir. After all, in this market, being able to achieve both 'avoiding pitfalls' and 'early positioning' already surpasses 90% of participants.
