7 Best Alarm Clock Apps For Android Users | 2026 Edition

Tech-news Android list, Best Free Alarm Clock App, Best Free Android Apps January 29, 2026

Do you struggle to wake up on time every morning and find yourself running late to the office, college, or appointments? If yes, it’s time to break the cycle of hitting the snooze button over and over and end up getting late by using alarm apps for Android phones.

While there are thousands of alarm apps available on the Play Store, no one really has the time to test them all. So this is where we step in to help you select one from a list of best free alarm clock apps for Android, which includes tried and tested apps that will force you to get out of bed.

Why is Sleep Important?

Sleeping is one of, if not the most important functions of humans, as it gives time to your brain and body to repair muscles, re-energize functions like memory, and get rid of the day’s fatigue. As a result, getting a good night sleep is super important. However, the number of hours you should be sleeping depends on factors like age. If you aren’t getting in the right numbers, then a lack of sleep can increase the chances of obesity, diabetes, depression, high blood pressure, stroke, and heart disease.

Fortunately, checking how many hours you should sleep is pretty straightforward. CalculatorYogi has a neat sleep debt calculator feature, which takes into account your age, and how many hours you sleep regularly. It then calculates the sleep deficit you might have and helps you get back on track.

Top 7 Free Android Alarm Apps For Heavy Sleepers

1. Alarmy (Sleep If U Can)

If you regularly snooze or turn off the alarm to go back to sleep, this app is perfect for you. Voted as the most annoying alarm clock app for Android, Alarmy has a unique method of waking up users. It requires you to complete a certain task or puzzle to turn off your morning alarm.

The difficulty levels of these challenges are also adjustable. So in case you are a stubborn one, set the difficulty mode to hardest and you will find yourself awake on time.

In addition to this, if you like to start your morning by reading news, horoscope or checking the weather, Alarmy offers that too.

Why use Alarmy?

Best alarm app for heavy sleepers.
Different challenges like math equations, shaking the phone, barcode scan, and taking a picture to turn off the alarm.
Features like “prevent app uninstall” and “phone turn-off.”

Download Alarmy for free

2. I Can’t Wake Up

If the title above is applicable to you, this Android app has 8 different Wake Up Tasks that won’t let you turn off the alarm unless you complete them. These include Math, Memory, Order (setting tiles in order), Repeat (sequence), Barcode, Rewrite (text), Shake, and Match.

The idea behind it is to make your mind alert enough to prevent it from going back to sleep. The UI is pretty basic, but multiple facilities compensate for it by getting the job done. There is also an Awake Test that pokes you after few minutes to ensure you are awake. So no cheating!

Why use I Can’t Wake Up?

Variety of Wake Up Tests to choose from
Option to choose snooze music
Smooth wake up mode – offers dimmed screen, rising volume
Awake Test to ensure you are awake

Download I Can’t Wake Up for free

3. Sleep as Android

Sleep as Android primarily serves as a sleep tracking app. It studies and analyzes your sleep pattern throughout the night and wakes you up at the most optimal time with a gentle alarm sound. To activate sleep tracking, turn on the sleep mode and place the phone on your mattress.

There are options for setting up tasks and puzzles like the previous app. But the best part about this alarm app is it can be integrated with wearable gear such as Optional Pebble, Android Wear, Galaxy Gear, Google Fit, Samsung S Health. It can also be integrated with Spotify and Philips Hue smart bulbs.

Why use Sleep as Android?

Displays sleep tracking stats
Support for wearables and Spotify
Records sleep talking activity
Detects and prevents snoring as well as jet lag too

Download Sleep as Android for free

4. AMdroid Alarm Clock

AMdroid is another free alarm app for Android heavy sleepers that allows you set up multiple alarms and customize them fully to wake you up gently. The interface design is visually pleasing with a dark theme, and the settings are quite flexible. Apart from setting up wake-up challenges, the app can automatically disable alarms on public holidays by syncing through your calendar.

Another remarkable feature of AMdroid is its location awareness. It means it can figure out if you are at a restaurant or office to prevent stray alarms going off. It also tracks the time you snoozing to help you cut down on it. Heavy sleepers can also put up a pre-alarm for the app to wake you up gradually and activate sleep tracking for bedtime notifications and more.

Why use AMdroid Alarm Clock?

Android Wear integration
Track sleep patterns and snooze time with Stats
Countdown alarm timer for quick afternoon naps
Location-aware alarm app

Download AMdroid Alarm Clock for free

6. Shake-it Alarm

If you hate solving math equations or puzzles to wake up, try the Shake-it Alarm. To turn off the alarm, you will either have to shake it, scream loud or touch off. It comes with a tutorial to help you get used to the app.

You can force yourself to wake up by using “Deactivate Home Button” which will prevent you from exiting the app and turning it off before completion of the task.

The unique feature of this app is “Send Message To” which will send a message to your pre-decided friend or family member to wake you up in case the alarm sounds weren’t sufficient.

Why use Shake-it Alarm?

Unique wake-up challenges
Can message friends or family to wake you up on time

Download Shake-it Alarm for free

7. Alarm Clock Xtreme

Alarm Clock Xtreme comes with a free sleep tracker, stopwatch, and timer. It will wake you up gently to your favorite music and prevent dismissing of alarms accidentally by using an extra-large snooze button. It has options like auto-snooze with a max limit, nap alarm, random music alarm, etc.

Obstacles like math problems, captcha, barcode scanning and much more help to jumpstart the brain early morning. More than 30 million Android users have installed this free alarm app for Android, and it carries a rating of 4.5 stars, so it’s definitely worth checking out.

Why use Alarm Clock Xtreme?

Best music alarm app
Get a daily sleep cycle analysis
Auto-snooze, auto-dismiss, nap alarm

Download Alarm Clock Xtreme for free

Final Words

All the apps listed above are free and offer something unique. Feel free to pick any of them which suits your requirements. Also check out our article on best android scanner app here. Do tell us which free alarm clock app you liked the most and in case we missed any other alarm app for Android, let us know in the comments. Until then, rise and shine early because the best way to make your dreams come true is to wake up!

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Tag Android list Best Free Alarm Clock App Best Free Android Apps

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#TMobile #outage #credit #bill">

mwasimuddin125 0

If your T-Mobile service was disrupted on Monday, you may be able to get some compensation for your troubles.
Multiple outlets, including KTLA in Los Angeles, have reported that some T-Mobile customers have been able to get at least $20 off their next bill because of the outage. One Reddit user said they were able to save as much as $80 (spread out over multiple billing cycles) by telling customer service that they missed out on a work opportunity because of the outage.
SEE ALSO: T-Mobile is giving away the Apple iPhone 17 for free — how to qualify

Generally, it seems that these credits are not automatic, and you may have to personally contact T-Mobile customer service to be compensated for your troubles.

Mashable Light Speed

After a major Verizon mobile outage in January, Verizon offered all affected customers a $20 credit.
Millions of T-Mobile users found their phones stuck in SOS mode on Monday afternoon, which led to plenty of criticism of the brand on social media. T-Mobile did acknowledge and apologize for the outage, though it has not explained what happened.

This Tweet is currently unavailable. It might be loading or has been removed.

Mashable contacted T-Mobile repeatedly to ask about the outage and its causes, but so far, the company has been silent. The most recent post at the T-Mobile news page is the company’s Q2 2026 earnings report, in which the company saw growing revenue and profits, with total revenue for the quarter of $22.7 billion.

#TMobile #outage #credit #bill">T-Mobile outage: You might be able to get credit on your bill

If your T-Mobile service was disrupted on Monday, you may be able to get some compensation for your troubles.

Multiple outlets, including KTLA in Los Angeles, have reported that some T-Mobile customers have been able to get at least $20 off their next bill because of the outage. One Reddit user said they were able to save as much as $80 (spread out over multiple billing cycles) by telling customer service that they missed out on a work opportunity because of the outage.

Generally, it seems that these credits are not automatic, and you may have to personally contact T-Mobile customer service to be compensated for your troubles.

Mashable Light Speed

After a major Verizon mobile outage in January, Verizon offered all affected customers a $20 credit.

Millions of T-Mobile users found their phones stuck in SOS mode on Monday afternoon, which led to plenty of criticism of the brand on social media. T-Mobile did acknowledge and apologize for the outage, though it has not explained what happened.

This Tweet is currently unavailable. It might be loading or has been removed.

Mashable contacted T-Mobile repeatedly to ask about the outage and its causes, but so far, the company has been silent. The most recent post at the T-Mobile news page is the company’s Q2 2026 earnings report, in which the company saw growing revenue and profits, with total revenue for the quarter of $22.7 billion.

#TMobile #outage #credit #bill

When the phrase “OpenAI hacked Hugging Face” has more or less entered mainstream culture, you know we have an AI problem. This week, we learned more about exactly how OpenAI’s agent broke out of a sandbox and autonomously traversed the web, including a bunch of other supposedly secure web services, all in the name of cheating on a benchmark tests.

The fact that this hack happened is a problem. So is the fact that it took a while for anyone to notice. And the fact that it seems no one is willing or able to do much to stop it. (And lest you think it’s just an OpenAI problem, since we recorded this episode Anthropic acknowledged its models have also hacked a bunch of other companies without either party knowing.) It might all just be a bunch of posturing and hype, but it’s also increasingly clear that the companies building large language models either can’t or won’t put the right guardrails on them. So who will?

After all that, it’s time for Brendan Carr is a Dummy, a bunch of vertical video news, and the smashing success of the Ferrari Luce. People are buying it! If one of them is you, we’d love to hear about it.

#time #panic #safetyAI,OpenAI,Podcasts,Policy,Vergecast">

It’s time to panic about AI safetyWhen the phrase “OpenAI hacked Hugging Face” has more or less entered mainstream culture, you know we have an AI problem. This week, we learned more about exactly how OpenAI’s agent broke out of a sandbox and autonomously traversed the web, including a bunch of other supposedly secure web services, all in the name of cheating on a benchmark tests.The fact that this hack happened is a problem. So is the fact that it took a while for anyone to notice. And the fact that it seems no one is willing or able to do much to stop it. (And lest you think it’s just an OpenAI problem, since we recorded this episode Anthropic acknowledged its models have also hacked a bunch of other companies without either party knowing.) It might all just be a bunch of posturing and hype, but it’s also increasingly clear that the companies building large language models either can’t or won’t put the right guardrails on them. So who will?After all that, it’s time for Brendan Carr is a Dummy, a bunch of vertical video news, and the smashing success of the Ferrari Luce. People are buying it! If one of them is you, we’d love to hear about it.#time #panic #safetyAI,OpenAI,Podcasts,Policy,Vergecast

mwasimuddin125 0

When the phrase “OpenAI hacked Hugging Face” has more or less entered mainstream culture, you know we have an AI problem. This week, we learned more about exactly how OpenAI’s agent broke out of a sandbox and autonomously traversed the web, including a bunch of other supposedly secure web services, all in the name of cheating on a benchmark tests.

#time #panic #safetyAI,OpenAI,Podcasts,Policy,Vergecast">It’s time to panic about AI safety

#time #panic #safetyAI,OpenAI,Podcasts,Policy,Vergecast

Anthropic said Thursday that an internal investigation uncovered three incidents in which its AI model Claude breached the systems of three organizations while conducting cybersecurity tests. The investigation, and disclosure, comes more than a week after OpenAI disclosed that one of its unreleased models breached Hugging Face’s systems during internal testing.

In all three cases, a Claude model reached the internet from within a testing environment while interacting with a third party and then gained unauthorized access to the live systems of these organizations, Anthropic said in a blog post, describing what it found and what the company plans to change to prevent this from happening again.

Anthropic said the OpenAI episode earlier this month prompted the company to conduct its own cybersecurity evaluation. It specifically looked for evidence that Claude had accessed the internet from within testing environments, which are designed to act as sandboxes and keep models isolated.

Among the 141,006 evaluation runs it reviewed, the AI lab found three incidents in which its model accessed the internet while interacting with Irregular, one of its third-party partners. Anthropic said the access traced back to a misconfiguration in the evaluation environment run with Irregular. It called this a “misunderstanding” between the two companies over whether the test setup had internet access, when in fact it did.

Anthropic said it isn’t placing blame and is “approaching the fixes as if the responsibility were ours alone,” while observing that Irregular is conducting its own separate investigation.

Because of that open connection, the model gained unauthorized access to the production infrastructure of three different organizations. Anthropic said the incidents involved three different Claude models: Opus 4.7, Mythos 5, and an internal research test model.

Notably, Anthropic said that in each of these cases “Claude was explicitly told by our prompt that it had no internet access.” It appears that the AI model assumed real-world systems to be part of the exercise it was asked to perform.

That assumption didn’t hold up uniformly, as it turns out. The three models didn’t behave the same way once evidence emerged that their targets were real, which Anthropic flagged as one of the more eye-opening findings Thursday.

Opus 4.7, the oldest of the three, recognized that it had reached a real production system in all four runs of that incident. In two of them, it rationalized that the real company must somehow be part of the exercise, but in all four, it kept attacking anyway, including pulling credentials and touching a database of production data. Mythos 5 also picked up on signs that it was on the real internet, but it talked itself back into believing it was still in a simulation, going on to publish a malicious software package to the public Python software registry PyPI, which was then downloaded and run by outside systems before being caught. Only the internal research test model, Anthropic’s newest, stopped on its own once it concluded the target was real.

In response, Anthropic said significant controls must be placed on these kinds of evaluations if powerful AI models are involved, echoing some sentiments within the cybersecurity community.

The company also noted that Claude was running without the additional safety monitoring and classifiers it deploys on generally available models — safeguards it said would have blocked the behavior, because the evaluations are designed to measure the underlying model’s raw capabilities.

Importantly, Anthropic said it found no evidence of any model “pursuing a goal of its own” and instead merely tried to complete the task it was asked to do.

Though comparisons between the mishaps of these fiercely competitive companies are inevitable, Anthropic in its blog post drew a clear distinction between its cybersecurity tests and those of OpenAI, noting where OpenAI’s model exploited an unknown software vulnerability to break out of its test environment, Anthropic’s models instead reached the internet through a path that had, by mistake, been left open.

Anthropic also drew a distinction between itself and OpenAI by noting that it discovered the incidents itself, through a proactive review, and that the two affected organizations it was able to reach hadn’t previously detected the activity or flagged it to Anthropic. (In contrast, Hugging Face detected the recent intrusion of its own systems first; it was only in the following days that OpenAI identified and disclosed that its own AI agent was the perpetrator.)

The company added that it’s now working with the independent evaluation group METR on a third-party review of the incidents.

OpenAI’s accidental breach of Hugging Face, which was the first verifiable case of an AI lab losing control of its model, has sparked a string of wildly differing reactions from the industry and politicians. This latest disclosure from Anthropic ensures the debate over AI models and security will continue.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Anthropic #models #breached #companies #security #tests #TechCrunchAnthropic,OpenAI">

Anthropic says its own AI models breached three companies during security tests | TechCrunch
Anthropic said Thursday that an internal investigation uncovered three incidents in which its AI model Claude breached the systems of three organizations while conducting cybersecurity tests. The investigation, and disclosure, comes more than a week after OpenAI disclosed that one of its unreleased models breached Hugging Face’s systems during internal testing.

In all three cases, a Claude model reached the internet from within a testing environment while interacting with a third party and then gained unauthorized access to the live systems of these organizations, Anthropic said in a blog post, describing what it found and what the company plans to change to prevent this from happening again.

Anthropic said the OpenAI episode earlier this month prompted the company to conduct its own cybersecurity evaluation. It specifically looked for evidence that Claude had accessed the internet from within testing environments, which are designed to act as sandboxes and keep models isolated.

Among the 141,006 evaluation runs it reviewed, the AI lab found three incidents in which its model accessed the internet while interacting with Irregular, one of its third-party partners. Anthropic said the access traced back to a misconfiguration in the evaluation environment run with Irregular. It called this a “misunderstanding” between the two companies over whether the test setup had internet access, when in fact it did.

Anthropic said it isn’t placing blame and is “approaching the fixes as if the responsibility were ours alone,” while observing that Irregular is conducting its own separate investigation.

Because of that open connection, the model gained unauthorized access to the production infrastructure of three different organizations. Anthropic said the incidents involved three different Claude models: Opus 4.7, Mythos 5, and an internal research test model.

Notably, Anthropic said that in each of these cases “Claude was explicitly told by our prompt that it had no internet access.” It appears that the AI model assumed real-world systems to be part of the exercise it was asked to perform.

That assumption didn’t hold up uniformly, as it turns out. The three models didn’t behave the same way once evidence emerged that their targets were real, which Anthropic flagged as one of the more eye-opening findings Thursday.

Opus 4.7, the oldest of the three, recognized that it had reached a real production system in all four runs of that incident. In two of them, it rationalized that the real company must somehow be part of the exercise, but in all four, it kept attacking anyway, including pulling credentials and touching a database of production data. Mythos 5 also picked up on signs that it was on the real internet, but it talked itself back into believing it was still in a simulation, going on to publish a malicious software package to the public Python software registry PyPI, which was then downloaded and run by outside systems before being caught. Only the internal research test model, Anthropic’s newest, stopped on its own once it concluded the target was real.

In response, Anthropic said significant controls must be placed on these kinds of evaluations if powerful AI models are involved, echoing some sentiments within the cybersecurity community.

The company also noted that Claude was running without the additional safety monitoring and classifiers it deploys on generally available models — safeguards it said would have blocked the behavior, because the evaluations are designed to measure the underlying model’s raw capabilities.

Importantly, Anthropic said it found no evidence of any model “pursuing a goal of its own” and instead merely tried to complete the task it was asked to do.

Though comparisons between the mishaps of these fiercely competitive companies are inevitable, Anthropic in its blog post drew a clear distinction between its cybersecurity tests and those of OpenAI, noting where OpenAI’s model exploited an unknown software vulnerability to break out of its test environment, Anthropic’s models instead reached the internet through a path that had, by mistake, been left open.

Anthropic also drew a distinction between itself and OpenAI by noting that it discovered the incidents itself, through a proactive review, and that the two affected organizations it was able to reach hadn’t previously detected the activity or flagged it to Anthropic. (In contrast, Hugging Face detected the recent intrusion of its own systems first; it was only in the following days that OpenAI identified and disclosed that its own AI agent was the perpetrator.)

The company added that it’s now working with the independent evaluation group METR on a third-party review of the incidents.

OpenAI’s accidental breach of Hugging Face, which was the first verifiable case of an AI lab losing control of its model, has sparked a string of wildly differing reactions from the industry and politicians. This latest disclosure from Anthropic ensures the debate over AI models and security will continue.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Anthropic #models #breached #companies #security #tests #TechCrunchAnthropic,OpenAI

mwasimuddin125 0

Anthropic said Thursday that an internal investigation uncovered three incidents in which its AI model Claude breached the systems of three organizations while conducting cybersecurity tests. The investigation, and disclosure, comes more than a week after OpenAI disclosed that one of its unreleased models breached Hugging Face’s systems during internal testing.

In all three cases, a Claude model reached the internet from within a testing environment while interacting with a third party and then gained unauthorized access to the live systems of these organizations, Anthropic said in a blog post, describing what it found and what the company plans to change to prevent this from happening again.

Anthropic said the OpenAI episode earlier this month prompted the company to conduct its own cybersecurity evaluation. It specifically looked for evidence that Claude had accessed the internet from within testing environments, which are designed to act as sandboxes and keep models isolated.

Among the 141,006 evaluation runs it reviewed, the AI lab found three incidents in which its model accessed the internet while interacting with Irregular, one of its third-party partners. Anthropic said the access traced back to a misconfiguration in the evaluation environment run with Irregular. It called this a “misunderstanding” between the two companies over whether the test setup had internet access, when in fact it did.

Anthropic said it isn’t placing blame and is “approaching the fixes as if the responsibility were ours alone,” while observing that Irregular is conducting its own separate investigation.

Because of that open connection, the model gained unauthorized access to the production infrastructure of three different organizations. Anthropic said the incidents involved three different Claude models: Opus 4.7, Mythos 5, and an internal research test model.

Notably, Anthropic said that in each of these cases “Claude was explicitly told by our prompt that it had no internet access.” It appears that the AI model assumed real-world systems to be part of the exercise it was asked to perform.

That assumption didn’t hold up uniformly, as it turns out. The three models didn’t behave the same way once evidence emerged that their targets were real, which Anthropic flagged as one of the more eye-opening findings Thursday.

Opus 4.7, the oldest of the three, recognized that it had reached a real production system in all four runs of that incident. In two of them, it rationalized that the real company must somehow be part of the exercise, but in all four, it kept attacking anyway, including pulling credentials and touching a database of production data. Mythos 5 also picked up on signs that it was on the real internet, but it talked itself back into believing it was still in a simulation, going on to publish a malicious software package to the public Python software registry PyPI, which was then downloaded and run by outside systems before being caught. Only the internal research test model, Anthropic’s newest, stopped on its own once it concluded the target was real.

In response, Anthropic said significant controls must be placed on these kinds of evaluations if powerful AI models are involved, echoing some sentiments within the cybersecurity community.

The company also noted that Claude was running without the additional safety monitoring and classifiers it deploys on generally available models — safeguards it said would have blocked the behavior, because the evaluations are designed to measure the underlying model’s raw capabilities.

Importantly, Anthropic said it found no evidence of any model “pursuing a goal of its own” and instead merely tried to complete the task it was asked to do.

Though comparisons between the mishaps of these fiercely competitive companies are inevitable, Anthropic in its blog post drew a clear distinction between its cybersecurity tests and those of OpenAI, noting where OpenAI’s model exploited an unknown software vulnerability to break out of its test environment, Anthropic’s models instead reached the internet through a path that had, by mistake, been left open.

Anthropic also drew a distinction between itself and OpenAI by noting that it discovered the incidents itself, through a proactive review, and that the two affected organizations it was able to reach hadn’t previously detected the activity or flagged it to Anthropic. (In contrast, Hugging Face detected the recent intrusion of its own systems first; it was only in the following days that OpenAI identified and disclosed that its own AI agent was the perpetrator.)

The company added that it’s now working with the independent evaluation group METR on a third-party review of the incidents.

OpenAI’s accidental breach of Hugging Face, which was the first verifiable case of an AI lab losing control of its model, has sparked a string of wildly differing reactions from the industry and politicians. This latest disclosure from Anthropic ensures the debate over AI models and security will continue.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Anthropic #models #breached #companies #security #tests #TechCrunchAnthropic,OpenAI">Anthropic says its own AI models breached three companies during security tests | TechCrunch

Anthropic said it isn’t placing blame and is “approaching the fixes as if the responsibility were ours alone,” while observing that Irregular is conducting its own separate investigation.

In response, Anthropic said significant controls must be placed on these kinds of evaluations if powerful AI models are involved, echoing some sentiments within the cybersecurity community.

Importantly, Anthropic said it found no evidence of any model “pursuing a goal of its own” and instead merely tried to complete the task it was asked to do.

The company added that it’s now working with the independent evaluation group METR on a third-party review of the incidents.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Anthropic #models #breached #companies #security #tests #TechCrunchAnthropic,OpenAI

Why is Sleep Important?

Top 7 Free Android Alarm Apps For Heavy Sleepers

1. Alarmy (Sleep If U Can)

Why use Alarmy?

2. I Can’t Wake Up

Why use I Can’t Wake Up?

3. Sleep as Android

Why use Sleep as Android?

4. AMdroid Alarm Clock

6. Shake-it Alarm

Why use Shake-it Alarm?

7. Alarm Clock Xtreme

Why use Alarm Clock Xtreme?

Final Words

Pilates Pro Nofar Hagag on the Workout That’ll Have You Camera-Ready

Stephen Lang & Elsie Fisher in Holocaust Drama ‘The Optimist’ Trailer | FirstShowing.net

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