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A personal report published on rakhim.exotext.com describes repeated mismatches between what digital services infer and what one long-time user says about himself. The anecdotes do not establish how companies collect or use data, but they illustrate how personalization can feel inaccurate even when services appear to know details such as location or recent searches.
A writer based in Helsinki says digital services repeatedly serve him irrelevant advertisements, recommendations and language settings, despite years of use and data that could seemingly help tailor them. In a personal report titled I wish tech companies knew more about me, published on rakhim.exotext.com, he questions the gap between common claims about pervasive tracking and his experience of personalization that often misses basic context.
The writer says advertisements often follow him with products he has already bought, including a game controller. He also describes seeing repeated ads for industrial resin used in 3D printing, a hobby he says he does not have, after clicking one such advertisement. He reports that other ads promoted services unavailable in Finland or products that did not fit his circumstances, including children’s offers despite having no children.
Recommendation systems are another focus. The writer says he regularly skips electronic music with vocals on Spotify and YouTube Music, a pattern he has maintained for years, but personalized playlists continue to include such tracks. After searching YouTube for installation instructions for one specific AEG appliance, he says his homepage the next day showed more videos about ovens and stoves rather than focusing on the particular installation task.
He also recounts recurring usability problems: services switching to Finnish or German despite English settings, an airline sending visa guidance that he says did not apply to his citizenship, and Netflix on Apple TV asking him to choose a profile even though he says his account has had only one. These are personal observations from the report, not independently verified findings about the companies’ systems or their data practices.
When Personalization Misses Its User
The report highlights a distinction between data collection and useful personalization. A platform may record a purchase, search or location without reliably identifying why the person acted, whether the information is still relevant, or what should be shown next. In the writer’s examples, a one-time search for appliance instructions appears to be treated as broader interest in kitchen equipment, while repeated music skips do not seem to shape recommendations as he expects.
For readers, the mismatch matters because recommendations and account settings influence everyday choices and the effort required to use digital services. Irrelevant ads can make targeting feel intrusive without being helpful; incorrect language or travel information can create confusion. The essay does not measure how common these problems are, but it offers a clear account of why some users see personalization as both extensive and poorly fitted to their needs.
The writer’s closing argument is pointed but limited: if companies are collecting and storing information, he would like them to use it more effectively. That is a statement of personal frustration, not evidence that every company holds the same data or could straightforwardly infer every preference described.
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The Gap Between Tracking and Relevance
The essay opens by challenging a familiar public narrative: that technology companies know users so well they can anticipate major life events or infer private traits. The author says he has not experienced that level of insight. Instead, he encounters what he sees as blunt or stale targeting, such as ads for items already purchased and recommendations based on an overly broad reading of a single search.
His examples span advertising, music and video recommendations, language localization, travel notices and account interfaces. Some involve apparent errors in how a service handles his preferences; others concern recommendations he considers irrelevant. The source provides no company responses, technical records, account settings or independent testing, so the anecdotes cannot show whether a particular system ignored available data, lacked it, or used a different signal.
The report is therefore best read as a first-person account of perceived personalization failures, not a technical investigation of advertising algorithms or a survey of users. It does not identify a single new policy, product launch or regulatory change; its news value lies in documenting the user’s examples and the question they raise about what personalization is meant to accomplish.
“I wish tech companies knew more about me”
— The writer, in the report
What the Examples Cannot Establish
The source does not provide the dates of the incidents, screenshots, account records or responses from the companies named or described. It is not clear what data each service held, which personalization settings were enabled, whether the writer’s activity was linked across devices, or why a particular ad or recommendation appeared.
The report also cannot determine whether the examples reflect system design, incomplete or outdated account information, regional limits, advertising campaigns, or other factors. The writer says his settings and account details were in English in one example, but the source does not document how the relevant service interpreted those settings. No broader user sample or measurable rate of recommendation errors is supplied.
No Company Response or Follow-Up
The supplied report describes no formal investigation, company reply or announced product change. The author does not specify a planned next step, and no follow-up milestone is identified. At present, the account remains a collection of personal examples rather than a confirmed finding about the companies’ internal systems.
Further reporting would need company explanations and evidence about account settings, recommendation controls and the data used in the cited instances. Until then, readers can distinguish the writer’s documented experience as he describes it from broader conclusions about how technology companies track or understand users.
Key Questions
What is the report about?
It is a first-person account by a Helsinki-based writer who says ads, recommendations and language settings often fail to reflect his circumstances or long-standing preferences.
No. The author says he believes information is tracked, stored and sold, but the report provides no technical evidence or company records confirming what specific data was collected or how it was used.
Which examples does the writer give?
He describes ads for products he says he already bought, repeated 3D-printing ads, music recommendations with vocals despite his regular skips, and language or travel information he considers inaccurate.
Did any of the companies respond?
The supplied report includes no responses from the companies and does not describe a request for comment.
Is the report a study of personalization systems?
No. It is a personal essay, not a controlled test or representative survey. It records the author’s experiences but does not establish how frequently the same issues affect other users.
Source: rakhim.exotext.com
