25 Unexpected Productivity Tools Most People Have Never Heard Of

A text expander does our boring typing. It sounds like something from 2005. You type a short trigger of 3 or 4 letters and it drops a full paragraph wherever your cursor happens to be.

Our work is matching early stage startups with investors, which turns out to be mostly writing the same 10 or 12 explanations over and over with small changes. Nobody I know in fundraising support uses anything like it. They keep a Google Doc open in another tab and paste from it all day. The expander works everywhere on the laptop, in Discord and inside the CRM.

Setting it up is the annoying part. Every snippet lives in one plain text file, which half the team refuses to open. I end up editing that file for everyone, usually on a Sunday.

One tool that people in our industry have not heard of is the Google Rich Results Test, and that's surprising since most marketers overlook it. Everyone knows the big SEO tools, but this free tool allows users to check if their structured data is working or is it just sitting there being useless.

In its nature, it saves lots of time because structured data is something everyone assumes to be working just fine and hardly anyone bothers to check, so it stops working without anyone realizing it's not working anymore until it's too late. In fact, it has helped to find a mistake in the markup of one of our clients within seconds that otherwise would take hours to identify.

Strangely enough, it is not that great a "productivity tool" that everyone thinks it is, but rather a simple app designed for diagnosing the existing problems.

My unexpected productivity tool is Metabase. I prefer it because colleagues can explore the same underlying data with filters and saved dashboards without asking an engineer to write a new SQL query each time a question changes.

At Ronas IT, we synchronize Zoho CRM, Google Analytics and ClickUp data into BigQuery, then use Metabase to examine leads, deals, marketing channels and operational data from that shared source. Metabase lets a business user narrow a view and ask a follow-up question in the same place. If the first view raises a question about a channel, the team can change the filter instead of commissioning another export. The saved view keeps a follow-up question close to the original decision.

Metabase gives our marketing and sales colleagues an interface to the shared dataset. They can inspect the questions that matter to their work while the data stays in BigQuery.

Start with a question your team asks repeatedly, put the relevant fields in a saved dashboard, and make its filters usable by the people who own the decision. If every follow-up still needs a specialist to prepare a query, the dashboard hasn't removed the bottleneck.

My pick is the internal QA tracker we built around monday.com, Codex and mini testing environments. It is specific to our workflow, so the useful idea is how it connects the people doing the testing to the work being changed.

A tester gives feedback on the monday.com item. The tracker sends that feedback back to the assigned Codex session, which can update the change, revise the test plan and deploy the next version to its testing environment. The loop continues until the tester reports QA pass. The person testing the work retains ownership of that decision.

We had been tying up shared QA systems one change at a time. Parallel environments let more people participate without making every item wait for the same system. We then shortened the generated test plans so people could understand the action and expected result, which made QA items quicker to close.

The productivity gain I value is a shorter path from a person's observation to a testable correction. The tracker gives that observation a destination and keeps the work attached to an owner until it is resolved.

I use a printed weekly calendar with empty space intentionally left blank. Most people view blank time as unused capacity, but I treat it as a protective buffer for thinking, follow-up, and unexpected issues. If every hour is scheduled, even a small disruption can derail an entire week.

The paper format matters because it makes overcommitment visually obvious. Digital calendars can hide the density of a schedule behind scrolling and overlapping reminders. Seeing the full week on one page changes how I evaluate new requests. I ask whether an item deserves space rather than whether I can technically squeeze it in. That distinction has improved my responsiveness and reduced the tendency to carry unfinished work into the next week.

The tool nobody expects is Text Blaze. It's a snippet expander, that's it. Not a real estate tool at all, which is probably why none of the cash buyers I know have ever touched it. These guys will drop thousands on CRMs, lead dashboards, follow-up automations, and then turn around and retype the same message by hand twenty times a day.

Ten years of buying houses across New Jersey taught me something. Speed matters, sure. But wording matters just as much. A seller stuck in probate or foreclosure, going through a divorce, buried in a tax lien mess, that person doesn't want a canned cash offer pitch. They want a clear next step without the legal fog.

So I use Text Blaze for the repetitive stuff that still needs a real human on the other end. I've got short snippets for requesting a payoff statement, explaining what a title company needs, following up after a walk-through, laying out what happens before closing. Then I rewrite the first few lines based on what's actually going on.

Say I'm working a house in Union County with old code violations and a $12,000 municipal balance. I'm not staring at a blank email. I can drop in a clean outline of the documents we need, what the seller does not have to fix, and what our attorney or title company checks before we close. Saves time, yeah, but the bigger thing is it stops me from forgetting one ugly detail when the day gets crazy.

Consistency is the real win. In this business, the mistakes almost always come from rushing. You tell one heir one thing, the attorney something slightly different, and now everybody's confused. Text Blaze keeps my language tight and I still don't sound like a robot. I write the message every time. I just don't rebuild the skeleton from scratch.

It's good on the phone too. Somebody calls about a sheriff's sale in Essex County that hits in two weeks, I type a quick shortcut and my own checklist pops up while we're talking. Mortgage payoff, sale date, judgment amount, open permits, who's on title. Keeps the call calm. And calm counts for a lot when a person already feels like the clock is steamrolling them.

Here's my advice. Use it for anything you say more than five times a week, and never for the emotional part. Automate the structure, not the empathy. That one rule has saved me a ton of time and probably a few deals.

I use Monica, an open-source "personal CRM" that was designed to help people remember their friends' and family members' birthdays and children's names. I found Monica to be a very useful tool many years ago as a real estate agent. Today, as the Sales, Marketing and Business Development Director for CheapForexVPS.com, I use Monica to remember things like the daughter of a trader client starting at university, a partner not wanting to do Monday calls, and a reseller mentioning that his sick parent had passed away three months ago. Our main CRM follows the pipeline, but Monica follows the person and that extra layer of understanding a vendor through is what makes them trustworthy. A good neighbor remembers how you take your coffee and that is how you win at renewals - not by offering more commission, but by remembering something important to them months later.

SmokePing. I'm surprised more retail trading infrastructure folk aren't using this free, open-source latency grapher from the early 2000s. We point it at our brokers' trade servers in LD4 and NY4 and it just pings away all day and night. Most people check latency once and find out it's 1ms or whatever, and then they're done. But SmokePing not only graphs latency, it also shows you the jitter and packet loss hiding underneath the average latency. I have seen a route advertised as 0.8ms be 40ms at the London open every weekday for unknown reasons having to do with an upstream carrier re-routing traffic. None of the single ping tests I've ever done have ever revealed this sort of problem. A week's worth of graphs, on the other hand, reveals the problem in about 10 seconds of browsing. The benefit to me and my team is that it saves us hours of arguing with clients over slippage complaints. The data is there within minutes to settle any dispute before it turns into a ticket.

I'm Filip Pesek, Founder and CEO of DonnaPro, a premium virtual executive assistant agency serving CEOs, founders and senior executives across Europe and the UK.

The tool is Toggl Track. Plenty of people have heard of it. What almost no one in our industry has heard of is using it the way we do.

Most time trackers in the assistant world exist to bill clients or to check that someone is working. We use Toggl for the opposite reason: to protect our assistants from overwork before it costs them or a client anything.

Everyone on the team tracks their hours by client, but we are not watching for a minimum. We are watching for the overload that nobody reports. When the hours on one client start creeping up, a workload has usually drifted beyond what was agreed, and we can step in early. We automate the task, reset the client's expectations, or upgrade the package before anyone burns out.

A tool most of the industry would treat as surveillance becomes, used this way, the best early warning system we have for sustainable performance.

The most important tool I have is an ESOP management tool that my business partner created. Most startups manage ESOPs in an HR spreadsheet. Other relevant information, such as grants, vesting, and exercise prices, are scattered in offer letters or board resolutions. This tool consolidates all of this information. It shows how many options have vested, the dilution each shareholder faces, and the share-based payment expense. For employees, it shows the value of their options based on the latest valuation. This tools speeds up the process of providing information to investors. For example, during a fundraising process, investors ask for a diluted cap table, and this tool provides that.

I'm Jake Woods, a Lighting & Interior Designer at Residence Supply.

An unexpected productivity tool I'd recommend is PureRef. It lets you collect reference images on one canvas, add notes, and keep the board visible over your other work. It's a simple idea, but useful when your reference material would otherwise be scattered across browser tabs and folders.

For a lighting project, I'd put the room photographs, fixture options, and finish references beside each other. Then I'd add short notes explaining why each option is there: "Check projection beside cabinet," or "Client likes the shape, not the finish."

Those notes are the important part. A folder full of attractive fixtures doesn't tell you what you were thinking when you saved them. Coming back to a project a few days later, I'd rather have the reasoning in front of me than have to reconstruct it.

I wouldn't use it to judge an exact finish match—photographs aren't a substitute for physical samples. I'd use it to keep the options and open questions together while narrowing down a recommendation.

The appeal is that it doesn't need to become another project-management system. Sometimes you just need all the relevant pictures in one place so you can get on with the decision.

Public inspection records. As a field sales rep, the government's own OSHA inspection data has become one of my best prospecting tools. It's free, it's searchable by state and date, and a recent inspection tells me a plant has something on its mind right now, like safety gear, training or equipment. Most reps never look at it. I spend ten minutes on Monday pulling the new ones in my territory, and those calls start with a real reason instead of "just checking in." — Christopher Kane, field sales rep and founder of Prospectr

Before a hard conversation, I rehearse it with AI.

Not to write a script. I describe the situation and the other person, then ask the AI to play them and push back the way they realistically would. A frustrated customer, a candidate who's about to hear no, a teammate who disagrees with a decision. Then I have the conversation, out loud or typed, as if it were real.

It sounds simple, but it changes how I walk into the room. The first time you hear an objection shouldn't be in the meeting itself. When I've already heard the hardest version of "but that's not fair" or "why wasn't I told sooner", I don't freeze or get defensive when it comes. I've already found the words.

The second step is the one most people skip. After the practice run, I paste the conversation back and ask the AI to be blunt: where did I sound defensive, where was I vague, what did I avoid saying? It usually catches the moment I softened the message so much that the point got lost, which is the most common mistake in difficult conversations.

It takes ten minutes and costs nothing. For conversations that matter, it's the best preparation I've found, because it's the closest thing to a second attempt you'll ever get.

The tool I lean on most is a plain shared folder of ugly photos. Blurry ones, dark ones, shots at a weird angle with flash glare bouncing off a tile wall. Everyone building a photo-based app has clean sample images. Very few keep the bad ones around on purpose.

I build a consumer app that reads a photo, so every change to the flow gets checked against that folder before it goes anywhere. A pretty sample tells you almost nothing about what happens when someone is standing in a bathroom at 11 at night with one hand on the phone. The ugly set shows me where the app should say it can't tell. That's a design call, and I'd rather make it early.

I add to the folder whenever I take a shot that makes me wince. Files are named for what's wrong with them, like "backlit" or "too close." Before I ship a screen change I can pull up the exact failure I'm worried about in a few seconds.

It costs nothing and needs no setup. Most people in app building haven't heard of it because nobody sells it. You just have to be willing to save the photos you'd normally delete.

One of the least known tools in the marketing world, but highly effective is Screaming Frog Log File Analyzer. While everyone in the SEO field has heard of the crawler, no one is aware of the log file analyzer while in reality the real insights are contained there. You don't speculate whether Google sees the webpage correctly anymore since you are able to see the pages downloaded by the search engine from logs and how often it happens.

In terms of productivity, it saves a lot of time on big client websites. Instead of wasting hours assuming how Google sees the webpage, it takes just a couple of minutes to see what is actually happening with the crawling. More than once, the tool has revealed that some of the crawl budget is wasted on valuable and yet irrelevant webpages that should have been crawled instead.

The surprising thing is that it is not just a conventional productivity application but a diagnostic tool that makes the troubleshooting process much more efficient.

One tool I rely on that many engineers outside AI circles haven't tried yet is Hermes Agent, an open-source autonomous agent from Nous Research. Unlike a chatbot that forgets everything between sessions, it runs on my own machine, keeps persistent memory of my projects and preferences, and turns workflows it completes into reusable skills, so it gets more useful the longer I use it.

I use it mainly to reduce the time and effort I spend on daily routines. It handles the repetitive parts of my day, like pulling together priorities, tracking tasks, and organizing follow-ups, and because it remembers context, it connects today's work to my longer-term goals. That makes both short-term and long-term planning faster and more consistent, and I can reach it from the terminal or a messaging app wherever I am.

The biggest benefit is the feeling that my time is under control. When routine planning runs in the background and I can see how today fits into the bigger picture, I spend less energy deciding what to do next and more energy on the work that matters, which has noticeably increased my productivity.

Bots that log into other companies' websites for us, with our own credentials, and read the data off the screen.

Insurance in this region has an integration problem nobody outside it would guess at. Some insurers simply have no way to connect their system to ours. No API, nothing to integrate against. The industry answer is a person opening the insurer's portal, finding the policy, reading the renewal premium, and typing it somewhere else, times however many renewals you have that month.

So we built bots that do exactly that. They log into the insurer's portal with our credentials and extract the renewal premium. It is not sophisticated technology and it is not what anyone means when they talk about AI in insurance. It saves an enormous amount of manual time, and renewals got faster and more reliable, because the failure mode of a tired person copying numbers between systems is a wrong number on somebody's renewal.

The reason most people in insurance have not tried it is that it feels like a workaround rather than a system. It is a workaround. The alternatives were waiting for carriers to build APIs, which is not a plan, or paying people to be a human API, which is what most of the market still does.

If a vendor you depend on has no integration and no intention of building one, automate the clicking. It is unglamorous and it works.

The unexpected productivity tool in my coaching practice is a plain weekly progress sheet that I feed into AI after a couple of months, not a fancy app most coaches talk about. Every client sends three goals, biggest setbacks, biggest wins, whether the work got done and why, plus hours worked on the business. Alone, each sheet looks fine. Stacked together, the model flags where hours stay high while leads or revenue stay flat, which is hard to see week by week. That pattern check lets us redirect time within about 60 days instead of waiting for a bad quarter. The sheet is the tool; the AI is just the second pair of eyes on structured inputs you already collect.

I hit record on every mastermind session I run, and the next morning I read the transcript instead of listening back. Not for the members. For me. I'm looking for my own words, specifically any answer I've given before.

I keep a running file of those repeats. Whenever a question shows up from a third different person, it stops being a conversation and becomes something I build once. A document, a short recorded walkthrough, a checklist I can send in ten seconds. The transcript is what makes the repetition visible, because in the moment every question feels brand new and personal, and I answer it as though it is.

I read my own side of the call, not just the part I deliver to the group. My repeated answers are a map of the work I keep redoing.

What changed for me is where the hours go during a session. I used to spend most of my prep anticipating questions. Now I spend it on the handful nobody has asked yet, because the recurring ones already have an asset attached to them. The transcript costs me maybe twenty minutes of reading.

The unexpected tool is a relationship continuity sheet, not a sales record. It captures working preferences, previous commitments, response patterns, and moments when a partner helped solve a difficult issue. The aim is not surveillance, it is preventing institutional memory from disappearing whenever account ownership changes.

I consider it a productivity system because trust reduces clarification cycles. A new operator can enter a conversation aware of context, boundaries, and promises already made. In complex agency ecosystems, that continuity avoids avoidable escalations, protects partner confidence, and frees senior people from repeatedly reconstructing history during each transition and renewal conversation with care.

Make.com is probably my answer. It is already widely known in digital and tech circles, but in more traditional industries like storage and removals, automation platforms like this are still surprisingly underused. I use it to connect the small handoffs between systems that otherwise create repetitive admin, such as moving information between forms, email, CRM records, and internal notifications. Make can connect thousands of apps through visual workflows, so you do not need a development project every time you want two systems to talk to each other. The productivity gain comes from removing dozens of tiny manual jobs that nobody notices until you add up the time.

My pick is OpenClaw. It is an unusual tool to bring into a jewelry business because its strength is browser automation rather than product design. It can read a webpage, follow links, and interact with forms, which makes it useful for the small website checks that otherwise accumulate during a working day.

A practical starting task is checking a public business listing: does the website link lead to the right page, and does the listing describe what the business actually sells? That is a narrow job with an observable result. I would start there before asking it to handle a long sequence of actions.

The habit I recommend is checking the resulting page rather than assuming that a successful click means the job is complete. Browser tools can get interrupted by a login screen or a changed layout. Their value depends on making those interruptions visible, so someone can resolve them instead of discovering an unfinished task later.

The thing that saves me the most time is not software at all. It is a single meeting room address that never changes. Same link and same dial-in number, every week, for every group I speak with regularly.

Most people schedule a call, generate a fresh link, paste it into an invite, then paste it again in chat when someone cannot find it. Small tax, paid several times a day. A fixed room removes the step completely. People learn the address the way they learn a phone number, and late joins fall away because nobody is digging through old email.

Endowing a meeting with a permanent address matters more in practice than endowing it with another clever feature. The unglamorous part is the point. Nothing to configure and nothing to announce.

If you run the same conversations with the same people, give those conversations one door and stop rebuilding it every time.

One productivity tool I recommend is a browser-based PDF editor. I started looking for one when I needed to add a signature and change a date in a PDF, only to find that some tools required payment just to download the edited document.

That experience made me realize how much time people waste switching between apps or signing up for services to complete simple tasks. I ended up building a free PDF editing tool for common tasks such as adding signatures and making quick document edits.

My biggest productivity tip is to look for tools that remove friction from repetitive tasks. A tool doesn't need dozens of advanced features to be useful; sometimes, the best one is simply the tool that lets you finish a small task quickly without unnecessary steps.