5 Home Assistant features you’re not using (but should be)


Home Assistant has so many features that you’re bound to have missed a few. Though you can get by with the basics, some of the things you never touch can make your server more efficient and your smart home even smarter.

Some of these aren’t even that well hidden, but they are easy to ignore until you finally take the plunge.

Labels

Creating a new label in Home Assistant for AAA batteries.

You can assign labels to just about everything in Home Assistant, including areas, devices, automations, and individual entities. It’s an easy way to group things, regardless of what they do and where they are.

Labels can make automations and scripts more efficient. For example, you can build automations that use labels and then assign these labels to the devices you want to target. This means you don’t have to call out specific devices in automations; you can just add or remove a label any time you want to change how a rule works.

The same is true for excluding devices from routines. In another example, you can issue a command to turn every light in the house off except for devices with the “keep on” label. Even basic organization can work with labels, allowing you to label devices based on which battery type they require, or whether they’re rechargeable, can be a great help.

You can add labels by editing any device, entity, area, and so on. You can also use the “Enter selection mode” button in certain views (like Devices or Automations lists), then check the items you want to label and click “Add label” at the top of the screen.

https://www.howtogeek.com/clever-ways-to-use-labels-in-home-assistant/

Helpers

A finished calibrated temperature sensor helper.

A helper is the Home Assistant term for a tool that simplifies common tasks to enable broader functionality and more complex scripts or automations. Head to Settings > Devices & services and click on the “Helpers” tab, and you’ll see the “+ Create helper” button at the bottom of the screen.

For example, you’ll need to use a helper if you want to fix a thermostat that is off by a couple of degrees or work out the average temperature in your home using more than one sensor. Both of these operations use the “Template” helper, creating a new virtual device that you can display on your dashboard or use in your automations.

Another example of a helper is a simple thermostat that can make any old heater smarter. You can also use this to create device groups, which are similar to labels but only apply to a single class of device. Use this to group several smart bulbs into a single light group entity, for example.

You don’t know you need a helper till you’re faced with a problem that can’t be solved without one, so it’s good to be aware of what these tools can do.


The Create Helper screen in Home Assistant.


5 Home Assistant helpers you’re not using (but should be)

Get by with a little help from these helpers.

Calendars

Home Assistant calendar trigger meets the Signal Lights integration.

I only just started using Home Assistant’s calendar myself, and I’m glad I did. I’m using a calendar event to trigger a signal light every other Monday so I remember to put the recycling out, but the possibilities are vast.

Automations can use a specific calendar’s event start or event end as a trigger for automations. To limit your trigger to a specific event (for example, an event named Meeting) you’ll need to add a rule using the “Template” condition and specify the event name using the following line:

{{ 'Meeting' in trigger.calendar_event.summary }}

You can even add your Google, iCloud, or Outlook calendars and use them in automations. It’s great for events that are dependent on dates, or that you might want to move around, and it makes a great alternative to rigid hardcoded schedules in Home Assistant.

Actionable notifications

An actionable notification from Home Assistant on an iPhone with four available actions to select.

It’s a good idea to keep smart home notifications to a minimum, so the ones you receive should at least be useful. Actionable notifications let you perform actions directly after receiving a notification, and you can customize them to do whatever you want.

They work with both iOS and Android, and can even be combined with critical alerts to perform vital actions at the tap of a button. You can set rules that might lead to an actionable notification, while also deciding what actions will appear on screen when you tap on it.

For example, you could create an automation that sends you an actionable notification whenever your home is left unlocked when nobody is home. If you have a smart lock, you could lock the door by tapping an action. Another example is a shortcut that takes you to a specific camera that has spotted something of interest.


An actionable notification from Home Assistant for a medication reminder on an iPhone.


Use Home Assistant notifications? You should be using these tricks

Notifications can do a lot more than you think.

Webhooks

The webhook trigger in an automation in Home Assistant.

A webhook is another type of automation trigger that uses a web address “endpoint” to perform an action on your Home Assistant server. Just add it to your automation using the “Webhook” action (alongside any other triggers you might want) and then copy the webhook ID. The URL will look something like: http://your-server/api/webhook/ID

The your-server part of the URL will be replaced with either the local I.P. address of your Home Assistant instance (for devices on the local server) or the remotely accessible address for a Home Assistant server.

Home Assistant automatically generates complex and lengthy webhook IDs, but you can change these to whatever you want. With your webhook in hand, you can do things like use QR codes to trigger events, design iPhone shortcuts that trigger automations remotely, use external services to trigger things, build an Android TV quick menu, and more.


Wondering what other Home Assistant functionality you’re missing out on? Check out these integrations that you’re probably not using.



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In short: Accel has raised $5 billion in new capital, comprising a $4 billion Leaders Fund V and a $650 million sidecar, targeting 20-25 late-stage AI investments at an average cheque size of $200 million. The raise follows standout returns from its Anthropic stake (invested at $183B, now valued near $800B) and Cursor (backed at $9.9B, now reportedly around $50B), and lands in a Q1 2026 venture market that deployed a record $297 billion.

Accel, the venture capital firm behind early bets on Facebook, Slack, and more recently Anthropic and Cursor, has raised $5 billion in new capital aimed squarely at AI. The raise, reported by Bloomberg, comprises $4 billion for its fifth Leaders Fund and a $650 million sidecar vehicle, positioning the firm to write average cheques of around $200 million into late-stage AI companies globally.

The fund lands in a venture capital market that has lost any pretence of restraint. Q1 2026 saw $297 billion flow into startups worldwide, 2.5 times the total from Q4 2025 and the most venture funding ever recorded in a three-month period. Andreessen Horowitz has raised $15 billion. Thrive Capital has closed more than $10 billion. Founders Fund is finishing a $6 billion raise. Accel’s $5 billion is substantial but not exceptional in a market where the biggest funds are measured in the tens of billions.

The portfolio that made the pitch

What distinguishes Accel’s fundraise is the portfolio it can point to. The firm invested in Anthropic during its Series G at a $183 billion valuation. Anthropic has since closed a round at $380 billion and is now attracting offers at roughly $800 billion, meaning Accel’s stake has more than quadrupled in value in a matter of months. Anthropic’s annualised revenue has hit $30 billion, a trajectory that no company in history has matched.

The firm’s bet on Cursor has been similarly well-timed. Accel backed the AI code editor in June 2025 at a $9.9 billion valuation. By November, Cursor had raised again at $29.3 billion. By March 2026, the company was reportedly in discussions at a valuation of around $50 billion. For a developer tool that barely existed two years ago, the appreciation is extraordinary.

Accel’s broader AI portfolio extends beyond these two headline positions. The firm has backed Vercel, the frontend deployment platform; n8n, an AI-powered automation tool; Recraft, a professional design platform; and Code Metal, which builds AI development tools for hardware and defence applications. In March 2026, Accel launched an Atoms AI programme in partnership with Google’s AI Futures Fund, selecting five early-stage companies from what it described as a global applicant pool focused on “white space” opportunities in enterprise AI.

The Leaders Fund model

Accel’s Leaders Fund series is designed for later-stage investments, the kind of large cheques that growth-stage AI companies now require. With an average investment size of $200 million and a target of 20 to 25 deals from the new $4 billion fund, the strategy is concentrated: a small number of high-conviction bets on companies that have already demonstrated product-market fit and are scaling revenue.

This is a different game from traditional venture capital. At $200 million per cheque, Accel is competing less with seed and Series A firms and more with the mega-funds, sovereign wealth funds, and corporate investors that have flooded into late-stage AI. The firm’s argument is that its early-stage relationships and technical evaluation capabilities give it an edge in identifying which companies deserve capital at scale, and in securing allocations in rounds that are massively oversubscribed.

Founded in 1983 by Arthur Patterson and Jim Swartz, Accel built its reputation on what the founders called the “prepared mind” approach, a philosophy of deep sector research before investments materialise. The firm’s most famous prepared-mind bet was its 2005 investment of $12.7 million for 10% of Facebook, a stake worth $6.6 billion at the company’s IPO seven years later. The question now is whether Accel’s AI bets will produce returns of comparable magnitude.

What the market is pricing

The sheer volume of capital flowing into AI venture funds reflects a market consensus that artificial intelligence will be the dominant technology platform of the next decade. The numbers are difficult to overstate. OpenAI raised $120 billion in 2026. Anthropic has raised more than $50 billion. xAI closed $20 billion. Waymo secured $16 billion. These are not venture-scale numbers; they are infrastructure-scale capital deployments that would have been unthinkable outside of telecommunications or energy a decade ago.

For limited partners, the investors who commit capital to venture funds, the logic is straightforward: the returns from AI’s winners will be so large that even paying premium valuations will generate exceptional multiples. Accel’s Anthropic position, where a single investment has appreciated several times over in months, is exactly the kind of outcome that makes LPs willing to commit $5 billion to a single firm’s next fund.

The risk is equally visible. Venture capital is a cyclical business, and the current fundraising boom has the characteristics of a cycle peak: record fund sizes, compressed deployment timelines, and a concentration of capital in a single sector. The last time venture capital raised this aggressively, during the 2021 ZIRP era, many of those investments were marked down significantly within two years. AI’s commercial traction is far stronger than the crypto and fintech bets that defined that earlier cycle, but the valuations being paid today leave little margin for error.

The concentration question

Accel’s fund also highlights a structural shift in venture capital. The industry is bifurcating into a small number of mega-firms that can write cheques of $100 million or more and a long tail of smaller funds that compete for earlier-stage deals. The middle ground, the traditional Series B and C investors, is being squeezed by mega-funds moving downstream and by AI companies that skip traditional funding stages entirely, going from seed round to billion-dollar valuations in 18 months.

For a firm like Accel, which operates across offices in Palo Alto, San Francisco, London, and India, the $5 billion raise is a bet that it can maintain its position in the top tier as fund sizes inflate and competition for the best deals intensifies. Its portfolio of 1,199 companies, 107 unicorns, and 46 IPOs provides a track record. But in a market where Anthropic alone could generate returns that justify an entire fund, the temptation to concentrate bets on a handful of AI winners is strong, and the consequences of getting those bets wrong are correspondingly severe.

The broader picture is that AI venture capital has entered a phase where the funds themselves are becoming as large as the companies they once backed. Accel’s $5 billion raise would have made it one of the most valuable startups in Europe just a few years ago. Now it is table stakes for a firm that wants to participate meaningfully in the rounds that matter. Whether this represents rational capital allocation or the peak of a cycle that will eventually correct is the question that every LP writing a cheque today is, implicitly or explicitly, answering in the affirmative.



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