17059 results found

1. Allow me to limit visibility of MY profile to certain tribes

   I’m not into masc men whatsoever, not even remotely. So to filter out all the unwanted attention, I’d like to just make my profile visible only to people in specific tribes.

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2. Ai and information collecting on Grindr Application

   I woke up this morning to a notification from Grindr asking to allow information collection for Ai. EVERYTHING about this idea seems exceptionally problematic. For a site that's sole purpose is for the communication and connection of REAL people to people why and or what does Grinder want with any interest in Ai. Sure maybe for ad bot making, I get it, I'm mostly a free member too and circumventing ad bots is the price I pay for being too cheap to pay for the app full time, and I personally love Ai as a tool for my favorite porn site to pre select videos geared towards my interests, but on a web site that is for and about Human conversations and connecting, I'm truly shocked at the audacity of the site to want to collect my personal conversation data, and even more so offer to pata phrase it and summarize for what ever uses even if it is for my own proposed benefits. I want, whatever I haven't deleted from my apps history and past conversations to remain exactly as they have transpired in a totally unedited history, ( that's why I didn't delete them yet). I mean I'm great full and still have trust for this company for being creditable enough to post and notify me, as well as give the option to opt out, but with all reason this has to be one of the most alarming and perpetual poor choices I've seen in a quite some time. Seriously Grinder What the What? 🤷‍♂️😆😁😆🤷‍♂️.

   I woke up this morning to a notification from Grindr asking to allow information collection for Ai. EVERYTHING about this idea seems exceptionally problematic. For a site that's sole purpose is for the communication and connection of REAL people to people why and or what does Grinder want with any interest in Ai. Sure maybe for ad bot making, I get it, I'm mostly a free member too and circumventing ad bots is the price I pay for being too cheap to pay for the app full time, and I personally love Ai as a tool for my favorite porn… more

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3. Too many Fake Bot Accounts

   Using Grindr has become increasingly frustrating. Despite paying for an Unlimited membership at $40/month, the overwhelming number of fake bot profiles has made the app nearly unusable. At this point, it feels like 90% of the interactions I receive are from bots rather than real people.

   Considering the premium cost, this makes the service feel extremely poor in value. It’s disheartening to pay for features that are overshadowed by fake accounts and spam interactions. What should be an enjoyable and social experience has instead become exhausting and disappointing.

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4. I like it!

   Why Data Analysis Has Become Part of the Modern Football Experience

   Football has always been a sport driven by emotion. Fans celebrate dramatic goals, unforgettable comebacks, and historic rivalries that create memories lasting for years. However, the modern game has also become increasingly analytical. Supporters no longer rely only on intuition when discussing upcoming matches. Instead, they often explore statistics, tactical trends, player performance, and historical records to gain a deeper understanding of what might happen on the pitch.

   One of the biggest changes in recent years is the availability of football data. League tables, possession percentages, expected goals, passing accuracy, defensive records, and player ratings are now accessible to almost everyone. This information allows fans to compare teams objectively and discover patterns that may not be obvious during a live broadcast.

   Football analysis has also become more tactical. Every team has its own style of play, whether it focuses on controlling possession, pressing aggressively, defending compactly, or attacking quickly through counterattacks. Understanding these approaches makes watching a match far more engaging because supporters can recognize the strategic decisions behind every movement.

   Historical performance is another valuable source of insight. Looking at previous meetings between clubs, home and away records, scoring consistency, or defensive stability often provides useful context before an important fixture. Although football always contains surprises, long-term trends can reveal interesting characteristics that influence expectations.

   As fans search for reliable football analysis, many turn to dedicated prediction platforms that organize statistics into easy-to-understand previews. In the middle of their research, readers may discover Smart predictions for football with Repcet, where upcoming matches are presented alongside statistical comparisons, recent form, and analytical insights designed to help football enthusiasts better understand each fixture rather than simply focusing on the final score.

   Another interesting aspect of modern football is squad management. Clubs competing in multiple tournaments must rotate players throughout long seasons. Injuries, suspensions, international duty, and fixture congestion all affect performance levels. A team playing its third match within a week may approach the game very differently from one that has enjoyed several days of rest.

   Youth development also plays an increasingly important role in football analysis. Emerging talents often bring fresh energy and tactical flexibility to their teams. Tracking academy graduates and promising young players has become an exciting part of following both domestic leagues and international competitions. Analysts frequently evaluate how these players adapt to higher levels of competition and influence team dynamics.

   Technology has transformed football in many ways beyond statistics. Video analysis, performance tracking, GPS monitoring, and advanced data models help coaches improve training sessions and tactical preparation. While fans do not have access to every professional tool, many analytical platforms summarize this information into accessible reports that make the sport easier to understand.

   International tournaments provide another fascinating area for analysis. Unlike club football, national teams have limited preparation time together. Chemistry, adaptability, and tactical discipline often become more important than individual talent alone. Comparing group-stage performances, defensive organization, and attacking efficiency gives supporters additional perspectives before major tournament matches.

   Football remains unpredictable despite all available data. Unexpected tactical adjustments, individual moments of brilliance, weather conditions, or simple luck can completely change the outcome of a match. That uncertainty is one of the reasons the sport continues to attract millions of supporters around the world.

   Ultimately, prediction platforms should be viewed as educational resources rather than sources of certainty. They encourage supporters to explore statistics, understand tactical concepts, and appreciate the strategic depth behind every match. By combining objective information with thoughtful analysis, football fans gain a richer appreciation of the sport they love while enjoying every fixture with greater knowledge and curiosity.

   Why Data Analysis Has Become Part of the Modern Football Experience

   Football has always been a sport driven by emotion. Fans celebrate dramatic goals, unforgettable comebacks, and historic rivalries that create memories lasting for years. However, the modern game has also become increasingly analytical. Supporters no longer rely only on intuition when discussing upcoming matches. Instead, they often explore statistics, tactical trends, player performance, and historical records to gain a deeper understanding of what might happen on the pitch.

   One of the biggest changes in recent years is the availability of football data. League tables, possession percentages, expected goals, passing… more

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5. Too many ads!

   This app is supposed to be free. Do not create a free application if you're just going to annoy the fuck out of us with ads. Im literally uninstalling. It's already bad enough you people have allowed a DATING APP to turn into an STD filled slut hole.

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6. Create a Visitors Filter

   Can you add a filter where you can see only profiles who are visiting your city (with the plane icon)?

   Maybe also add “hotel" as a hosting option/filter.

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7. Not Idea
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8. Nie blokuj mi telefona reklamami ty kurwo chińska

   Nie blokuj mi telefona reklamami ty kurwo chińska

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9. Soccer

   How SoccerPredictionAI Uses AI to Approach Football Predictions

   Football produces an enormous amount of data. Every match generates information about goals, shots, results, team performance and numerous other statistics. The challenge is turning all of this information into something understandable.

   Artificial intelligence provides one possible solution. Instead of manually reviewing every available statistic, prediction models can process structured football data and generate an analytical forecast for a particular fixture.

   This is the basic idea behind soccerpredictionai.com, where the focus is on using AI technology to approach football match predictions through data and statistical analysis.

   From Raw Statistics to a Match Forecast

   A football prediction model starts with information. Depending on its methodology, this can include recent team results, scoring records, defensive performance, home and away statistics and historical meetings.

   The model then looks for relationships between these variables. Machine-learning systems can process many observations and identify statistical patterns that may not be immediately obvious when looking at a single table.

   The final result is usually presented as a probability-based forecast rather than an absolute statement.

   Why Football Requires Statistical Context

   A team's league position can provide useful information, but it does not necessarily explain everything about an upcoming fixture.

   Imagine two teams with similar positions in the table. One might have performed particularly well at home, while the other has collected most of its points away from home. Their overall rankings alone would not show this difference.

   A prediction model can separate these factors and consider them individually when evaluating the fixture.

   The same applies to recent form. A sequence of results can look impressive until the strength of the opponents is taken into account. Statistical context helps provide a more detailed interpretation.

   Possible Outcomes Rather Than Guaranteed Results

   One of the most important principles in football prediction is accepting uncertainty.

   Even the strongest statistical model cannot predict every event. A penalty, red card, injury or tactical adjustment can change a match completely. This means an AI prediction should be understood as an estimate based on available information.

   Probability is particularly useful in this context. Instead of reducing a match to a simple yes-or-no prediction, a model can show how strongly the available data supports different scenarios.

   This makes it easier to identify matches where the statistical picture is relatively clear and those where the available information points in several directions.

   Why Model Transparency Matters

   As AI prediction technology becomes more popular, transparency becomes increasingly important. Users should be able to understand what type of information contributes to a prediction and what the model's output actually represents.

   Historical accuracy can also provide useful context, but past results should not be treated as proof that future predictions will have the same performance.

   A responsible prediction platform should make this distinction clear. Football forecasting is about probabilities, not certainty.

   AI as Part of Football Analysis

   AI does not have to replace traditional football analysis. Instead, it can complement it.

   A fan might begin by examining an AI-generated prediction, then look at recent team performances, injuries, tactical changes and other relevant information. This creates a more structured research process than relying on a single opinion.

   The technology is particularly useful for processing repetitive statistical information. A model can evaluate many fixtures using consistent criteria, while a human can focus on interpreting the broader football context.

   Where Football Prediction Technology Is Heading

   The continued development of machine learning is likely to make football prediction tools more sophisticated. Better datasets and improved statistical techniques can create increasingly detailed models for analyzing upcoming matches.

   At the same time, the fundamental limitation will remain: football is unpredictable.

   That is precisely what makes data-driven prediction interesting. AI cannot remove uncertainty from the sport, but it can provide a structured way to examine that uncertainty. For anyone interested in football statistics, match analysis and predictive technology, AI offers another perspective on the game without replacing the human side of understanding football.

   How SoccerPredictionAI Uses AI to Approach Football Predictions

   Football produces an enormous amount of data. Every match generates information about goals, shots, results, team performance and numerous other statistics. The challenge is turning all of this information into something understandable.

   Artificial intelligence provides one possible solution. Instead of manually reviewing every available statistic, prediction models can process structured football data and generate an analytical forecast for a particular fixture.

   This is the basic idea behind soccerpredictionai.com, where the focus is on using AI technology to approach football match predictions through data and statistical analysis.

   From Raw Statistics to a… more

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10. Tennis

    AI Tennis Predictions: How Artificial Intelligence Analyzes Matches

    Artificial intelligence is becoming an increasingly useful tool for analyzing sports. In tennis, where every match produces detailed statistical information, AI can process large datasets and identify patterns that may be difficult to evaluate manually.

    AI Tennis Predictions use statistical and machine-learning techniques to estimate the possible outcomes of upcoming matches. The goal is not to guarantee what will happen, but to provide a data-based perspective on a fixture.

    What Can an AI Model Analyze?

    A tennis prediction model can consider many different variables. Recent results are one obvious example, but they are only part of the picture.

    A model may also examine:

    serve and return performance;
    results on different court surfaces;
    recent opponent strength;
    head-to-head records;
    break-point statistics;
    recent workload and match volume;
    tournament and competition context.

    Combining these factors can produce a more detailed assessment than looking at a single ranking or recent score.

    The Importance of Court Surface

    Surface is particularly important in tennis. Clay, hard courts and grass create different playing conditions, and players can have significantly different records across them.

    An AI model can separate these results and give greater relevance to matches played under comparable conditions.

    For example, a player's overall record may look average, while their performance on a particular surface could be substantially stronger. Including surface-specific information can therefore change the statistical interpretation of an upcoming matchup.

    Looking at Recent Form

    Recent form is another important component of tennis prediction.

    However, simply counting wins and losses can be misleading. The quality of opponents, tournament level and match conditions all matter.

    AI systems can process these details across a much larger historical sample than a person could realistically examine manually. This makes it possible to identify trends while maintaining a consistent analytical process.

    Probabilities Instead of Certainty

    One of the most important concepts in AI prediction is probability.

    A model may determine that one player has a higher estimated chance of winning than the other, but that does not mean the result is certain. Tennis matches can change quickly because of injuries, momentum shifts, serving performance and other factors.

    A useful prediction should therefore be interpreted as an estimate based on available information.

    This approach also makes it possible to compare closely matched players. If the model gives similar probabilities to both sides, it indicates that the available statistical evidence does not strongly separate them.

    Why Automation Can Be Useful

    Manual tennis analysis can require checking a large amount of information for every match. AI can automate much of this process.

    A system can repeatedly apply the same methodology across ATP, WTA and other competitions, making it easier to compare fixtures using consistent criteria.

    This is one of the reasons aitennispredictions.com fits into the growing field of automated tennis analysis. The focus is on using AI and statistics to generate predictions rather than relying solely on subjective opinions.

    Human Analysis Still Has a Role

    AI does not make traditional tennis knowledge irrelevant. Instead, the two approaches can complement each other.

    A model can process historical statistics and produce a forecast, while a person can consider the broader context of a tournament and understand the playing styles involved.

    The best way to interpret an AI prediction is therefore to understand what information supports it and where the model's limitations may be.

    As tennis datasets become larger and machine-learning techniques continue to develop, AI prediction systems will likely become an increasingly familiar part of sports analysis.

    AI Tennis Predictions: How Artificial Intelligence Analyzes Matches

    Artificial intelligence is becoming an increasingly useful tool for analyzing sports. In tennis, where every match produces detailed statistical information, AI can process large datasets and identify patterns that may be difficult to evaluate manually.

    AI Tennis Predictions use statistical and machine-learning techniques to estimate the possible outcomes of upcoming matches. The goal is not to guarantee what will happen, but to provide a data-based perspective on a fixture.

    What Can an AI Model Analyze?

    A tennis prediction model can consider many different variables. Recent results are one obvious example, but they… more

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11. Hockey

    AI Hockey Predictions: How Artificial Intelligence Analyzes Ice Hockey Games

    Ice hockey generates an enormous amount of statistical information. Goals, shots, saves, special teams, player performances and recent results can all provide useful clues about an upcoming game. The challenge is combining these different factors into a coherent analysis.

    Artificial intelligence offers one way to approach this challenge. AI hockey predictions use statistical data and machine-learning techniques to identify patterns and estimate possible outcomes for upcoming games.

    What Information Can AI Analyze?

    A hockey prediction model can consider many different variables. Team form is one of the most obvious, but it is only a starting point.

    Recent scoring performance, defensive results, home and away records, goaltending statistics and special teams can all contribute to the overall assessment. Player-level information can provide another layer of detail, particularly when important players have recently changed their level of performance.

    AI systems are useful because they can process many of these variables simultaneously.

    The Importance of Recent Form

    A team's performance can change considerably during a season. A club that struggled earlier may improve after tactical changes or roster adjustments, while a strong team can experience a temporary decline.

    Recent results can therefore provide valuable information about current form.

    However, a simple win-loss record does not always tell the complete story. The quality of opponents, scoring margins and whether games were played at home or away can all influence how those results should be interpreted.

    Goaltending and Defensive Performance

    Goaltending is one of the most important elements of hockey analysis. A strong performance in net can change the outcome of a game even when the two teams are relatively evenly matched.

    AI models can incorporate available goaltending statistics alongside broader defensive metrics. This creates a more complete picture of how effectively each team prevents scoring opportunities.

    Defensive consistency can be particularly important when analyzing teams with similar offensive production.

    Multiple AI Models

    Different AI systems can interpret the same hockey data in different ways. Comparing outputs from multiple models can therefore provide additional context.

    Platforms such as aihockeypredictions.com use several AI models to generate hockey forecasts and present different analytical perspectives. The site currently describes predictions based on team form, player statistics, historical data and advanced analytics.

    The benefit of this approach is that users can see how different models interpret the same matchup instead of relying on a single analytical process.

    Predictions Are Probability-Based

    Even sophisticated AI cannot know exactly what will happen during a hockey game.

    An early goal, an unexpected injury, a penalty sequence or an exceptional goaltending performance can change the direction of a match. For this reason, prediction models should be understood as estimates based on available information.

    Probability is useful because it reflects uncertainty rather than pretending that an outcome is guaranteed.

    The Future of Hockey Analytics

    As hockey datasets become larger and more detailed, AI models can potentially incorporate increasingly sophisticated information. Player combinations, shot quality, possession metrics and tactical tendencies can all contribute to more detailed analysis.

    AI does not remove the unpredictable nature of hockey. Instead, it provides another tool for understanding the statistical factors behind an upcoming game.

    For hockey fans interested in data, this combination of artificial intelligence and sports analytics offers a structured way to explore matches and compare different statistical perspectives.

    AI Hockey Predictions: How Artificial Intelligence Analyzes Ice Hockey Games

    Ice hockey generates an enormous amount of statistical information. Goals, shots, saves, special teams, player performances and recent results can all provide useful clues about an upcoming game. The challenge is combining these different factors into a coherent analysis.

    Artificial intelligence offers one way to approach this challenge. AI hockey predictions use statistical data and machine-learning techniques to identify patterns and estimate possible outcomes for upcoming games.

    What Information Can AI Analyze?

    A hockey prediction model can consider many different variables. Team form is one of the most obvious, but… more

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12. The Word Puzzle Game That Challenges You

    The quordle is a challenging word puzzle game designed for players who love testing their vocabulary and logic skills. Inspired by the popular Wordle format, Quordle takes the classic guessing concept to the next level by asking players to solve four five-letter words at once. With only nine attempts, every guess must be strategic and informative.

    The game uses a familiar color-hint system to guide players toward the correct answers. Gray letters indicate a letter does not appear in the word, yellow letters mean the letter is present but in the wrong position, and green letters confirm the correct letter in the correct position.

    Each guess appears across four grids simultaneously, creating a unique challenge that requires careful thinking and pattern recognition. A new puzzle is available daily, making Quordle a perfect brain-teasing activity for word game fans looking for a deeper challenge beyond traditional word puzzles.

    The quordle is a challenging word puzzle game designed for players who love testing their vocabulary and logic skills. Inspired by the popular Wordle format, Quordle takes the classic guessing concept to the next level by asking players to solve four five-letter words at once. With only nine attempts, every guess must be strategic and informative.

    The game uses a familiar color-hint system to guide players toward the correct answers. Gray letters indicate a letter does not appear in the word, yellow letters mean the letter is present but in the wrong position, and green letters confirm the correct letter… more

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13. Ingrandimento del testo

    Sarebbe ideale ingrandire il testo come su iPhone così da legger meglio.

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14. صعوبة وضع صورة علي اميلي وطريقة ظهور الاشخاص

    صعوبة وضع صورة ووحود اشخاص جدد

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15. Get the favourites

    Can we please have the old favourite list back where we could see how far away and when they where online last time?

    60 votes

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16. Appealing for ban

    Resulting for apealing a ban for my account

    6 votes

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17. Hi, what do you think about adding a search magnifying glass to the messages section? Sometimes it's difficult to find a specific profile as

    Hi, what do you think about adding a search magnifying glass to the messages section? Sometimes it's difficult to find a specific profile as we chat with other profiles. I hope you'll consider this suggestion. I believe it would be very helpful for those of us who use the app. Thank you in advance! S2

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18. Set visibility filters

    Filters only work one way - what I am looking for. The opposite is glaringly missing - who can see me. I suspect it is not there, as it may result in too few profiles being visible to some people, but if I only want people looking for relationship to see me, and there are only 2 or 3, then that is my choice - I can always remove that again. I feel doing this would make the app a LOT more useful, as people don't tend to read profiles, so one gets bombarded by people you have to request to read.

    Filters only work one way - what I am looking for. The opposite is glaringly missing - who can see me. I suspect it is not there, as it may result in too few profiles being visible to some people, but if I only want people looking for relationship to see me, and there are only 2 or 3, then that is my choice - I can always remove that again. I feel doing this would make the app a LOT more useful, as people don't tend to read profiles, so one gets bombarded by people you have to request… more

    3 votes

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19. Users without a paid account should be able to report profiles shown in the "For you" section that violate the rules.

    Users without a paid account should be able to report profiles shown in the "For you" section that violate the rules.

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20. Menores de edad

    Hay muchos menores de edad en la app, lo peor es que está comunidad está llena de pedófilos y obviamente no reportan los casos de menores, debería ver un método para verificar que tienes más de 18 años al crear una cuenta porque cualquier niño puede crearce una

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    0 comments  ·  Safety & Privacy  ·  Edit…  ·  Delete…  ·  Admin →
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