Timelaps for Technology
Continuous brand tracking for the fastest-moving category in the world.
Continuous brand tracking for the fastest-moving category in the world.
In AI and software, mindshare moves monthly and the race is winner-take-most. Being the default, the considered alternative, or invisible can flip in a single quarter. Timelaps tracks awareness, consideration, and preference continuously, against every rival, in every market you operate.
Technology leaders know the importance of branding.
The same conversations happen inside every fast-scaling, user-centered software and AI company we talk to.
Legacy brand tracking is breaking.
Mindshare in tech products moves with daily news headlines. Legacy tracking runs audits quarterly. Three product cycles too late.
Slow time to value.
Slow time to value.
Slow time to value.
Price tags built for multi-billion
incumbents, not challengers.
Price tags built for multi-billion
incumbents, not challengers.
Price tags built for multi-billion
incumbents, not challengers.
Social buzz mistaken for real,
representative demand.
Social buzz mistaken for real,
representative demand.
Social buzz mistaken for real,
representative demand.
Require additional resources
to make sense of the data.
Require additional resources
to make sense of the data.
Require additional resources
to make sense of the data.
A viral moment you can feel but cannot measure.
A viral moment you can feel but cannot measure.
A viral moment you can feel but cannot measure.
Insights that arrive after the decision.
Insights that arrive after the decision.
Insights that arrive after the decision.
Brand tracking on auto-pilot.
Brand intelligence, reimagined for the fastest-moving category in the world.
Cheaper
5x more accessible than traditional alternatives.
Better
Research-grade insights from 4,000 real consumers.
Faster
Set up in days.
Always-on. Self-updating.
What makes Timelaps different?
What makes Timelaps different?
Timelaps is a modern brand tracking and insight platform designed to replace slower, more expensive traditional agency tracking with always-on insights. The founders come from over 20 years in research and have supported over 150 enterprise and challenger brands.
Without Timelaps
Slow. Expensive. Stale.
How traditional brand tracking holds tech companies back.
3-6 months to first insight.
Quarterly updates. Decisions made with out of date data.
Six-figure price tags. Most companies are priced out.
Rigor depends on which analyst you get.
Insights buried in dense PPTs.
With Timelaps
Real-time. Accessible. Always-on.
How tech companies actually operate.
Set up in days, not months.
Always-on. Continuous tracking.
At least 5x more affordable than traditional agencies.
Research-grade with the latest brand science built-in.
Board-ready, self-updating dashboard.
Without Timelaps
Slow. Expensive. Stale.
How traditional brand tracking holds tech companies back.
3-6 months to first insight.
Quarterly updates. Decisions made with out of date data.
Six-figure price tags. Most companies are priced out.
Rigor depends on which analyst you get.
Insights buried in dense PPTs.
With Timelaps
Real-time. Accessible. Always-on.
How tech companies actually operate.
Set up in days, not months.
Always-on. Continuous tracking.
At least 5x more affordable than traditional agencies.
Research-grade with the latest brand science built-in.
Board-ready, self-updating dashboard.
Without Timelaps
Slow. Expensive. Stale.
How traditional brand tracking holds tech companies back.
3-6 months to first insight.
Quarterly updates. Decisions made with out of date data.
Six-figure price tags. Most companies are priced out.
Rigor depends on which analyst you get.
Insights buried in dense PPTs.
With Timelaps
Real-time. Accessible. Always-on.
How tech companies actually operate.
Set up in days, not months.
Always-on. Continuous tracking.
At least 5x more affordable than traditional agencies.
Research-grade with the latest brand science built-in.
Board-ready, self-updating dashboard.
Fast set-up,
ongoing value.
Onboard in days. Get actionable insights from real consumers in your category continuously.
01
Set up your tracker
Our AI analyst and brand research expert co-design your study. Tailored to your brand, category, and market.
02
03
04
Fast set-up,
ongoing value.
Onboard in days. Get actionable insights from real consumers in your category continuously.
01
Set up your tracker
Our AI analyst and brand research expert co-design your study. Tailored to your brand, category, and market.
02
Always-on fieldwork
Your tracker never stops collecting. Quality-controlled responses from 4,000+ real consumers in your category are selected.
03
Continuous insights
Your dashboard self-refreshes monthly with actionable insights and beautiful visualizations.
04
Share & Act
Share a dynamic storytelling dashboard, instead of a stale PDF, directly with your team.
Fast set-up,
ongoing value.
Onboard in days. Get actionable insights from real consumers in your category continuously.
01
Set up your tracker
Our AI analyst and brand research expert co-design your study. Tailored to your brand, category, and market.
02
Always-on fieldwork
Your tracker never stops collecting. Quality-controlled responses from 4,000+ real consumers in your category are selected.
03
Continuous insights
Your dashboard self-refreshes monthly with actionable insights and beautiful visualizations.
04
Share & Act
Share a dynamic storytelling dashboard, instead of a stale PDF, directly with your team.
Why technology companies choose Timelaps.
See mindshare move in real-time with continuous data collection, so you can act while the race is still open.
Know if the launch moved the customers, not just social media.
You shipped the new feature, and X went wild for 24 hours. Track whether it built durable awareness and preference for your brand among category buyers, or just trended in the echo chamber for a day.
Own the exact moments people pay for a software in your category.
"Help me write this." "Explain this." "Build this." Track which use-case moments your brand owns and which ones the default is quietly taking, beyond your own usage dashboards.
See the market beyond the loud 1%.
Devs on X, Reddit, and Discord are not the full market. Track the census-matched mainstream: the silent majority who've never tried you but will fall in love if they do.
The Technology category is the first adopter of modern brand intelligence.
Paul Graham from Y Combinator wrote: "Brand is what's left when the substantive differences between products disappear." Yet the things that decide how consumers make decisions today, awareness, preference, and category entry points, often go unmeasured.
<10%
Fewer than 10% of ChatGPT weekly users visited another model provider, and only 9% pay for more than one AI subscription.
60% of brand sales is projected to be done by wholesale, far ahead of brand’s own stores (11%) and websites (6%), pushing brand discovery onto a shelf where you don’t own the data.
Source: a16z, 2025
91%
ChatGPT (91%) and Gemini (82%) dominate general US consumer awareness, and almost 4 out of 5 prefer it as the main AI tool.
Source: Timelaps Consumer AI Study (US), 2026
44%
US consumers are aware of 4.6, consider 3.0, and have used 2.3 (in the past 3 months) AI tools on average. 44% choose automatically before choosing.
Source: Timelaps Consumer AI Study (US), 2026
FAQs.
Can’t find the answer you’re looking for?
Reach out to our team: hello@timelaps.io.
Can you track brand health at the speed of AI, where the landscape shifts faster than ever?
Yes. Fieldwork runs continuously and your dashboard refreshes monthly (or faster), so you're never reading last quarter's market. When mindshare moves after a launch or a rival's release, you see it in weeks, not in next year's brand study.
Can you measure which use-case moments we own, like "help me write this" or "build this app," against the default?
Yes. We map the moments people reach for a tool in your category as Category Entry Points, then track which brands come to mind for each. You see exactly where you're the default, where you're the alternative, and where you're not in the room.
Can you measure both our target customer segment’s mindshare and general-consumer perception separately?
Yes. We can run and report segments side by side: developers versus general consumers, current users versus prospects, or any cut that matters to you. You see where the audiences diverge, which in this category they usually do.
What quality controls and fraud detection do you use?
Every response runs through multiple layers: attention and consistency checks, speeding and straight-lining detection, duplicate and bot screening, and panel-side fraud filters. Low-quality responses are removed before anything reaches your dashboard, so you're acting on clean data.
Do you support multi-market tracking with consistent methodology?
Yes. We run the same methodology across every market, with census-matching applied per country, so results are comparable market to market. Track one region or many, and trust that a move in one country means the same as a move in another.
Can you tie a launch or viral moment to a measurable brand shift?
Yes. Continuous tracking gives you a before and after around every release, announcement, and news cycle. You learn whether the moment built durable awareness and preference among category buyers, or just trended inside the bubble for a day.
Can you benchmark us against the category leader and emerging rivals at once?
Yes. You define the competitive set and can update it as the market shifts, which in AI it will. Every metric is tracked against that set, so you always know your position in the actual race, not last year's version of it.
Can we publish reports and post social media content using the data and analysis?
Absolutely. Remember to tag us so we can help amplify!
FAQs.
Can’t find the answer you’re looking for?
Reach out to our team: hello@timelaps.io.
Can you track brand health at the speed of AI, where the landscape shifts faster than ever?
Yes. Fieldwork runs continuously and your dashboard refreshes monthly (or faster), so you're never reading last quarter's market. When mindshare moves after a launch or a rival's release, you see it in weeks, not in next year's brand study.
Can you measure which use-case moments we own, like "help me write this" or "build this app," against the default?
Yes. We map the moments people reach for a tool in your category as Category Entry Points, then track which brands come to mind for each. You see exactly where you're the default, where you're the alternative, and where you're not in the room.
Can you measure both our target customer segment’s mindshare and general-consumer perception separately?
Yes. We can run and report segments side by side: developers versus general consumers, current users versus prospects, or any cut that matters to you. You see where the audiences diverge, which in this category they usually do.
What quality controls and fraud detection do you use?
Every response runs through multiple layers: attention and consistency checks, speeding and straight-lining detection, duplicate and bot screening, and panel-side fraud filters. Low-quality responses are removed before anything reaches your dashboard, so you're acting on clean data.
Do you support multi-market tracking with consistent methodology?
Yes. We run the same methodology across every market, with census-matching applied per country, so results are comparable market to market. Track one region or many, and trust that a move in one country means the same as a move in another.
Can you tie a launch or viral moment to a measurable brand shift?
Yes. Continuous tracking gives you a before and after around every release, announcement, and news cycle. You learn whether the moment built durable awareness and preference among category buyers, or just trended inside the bubble for a day.
Can you benchmark us against the category leader and emerging rivals at once?
Yes. You define the competitive set and can update it as the market shifts, which in AI it will. Every metric is tracked against that set, so you always know your position in the actual race, not last year's version of it.
Can we publish reports and post social media content using the data and analysis?
Absolutely. Remember to tag us so we can help amplify!
FAQs.
Can’t find the answer you’re looking for?
Reach out to our team: hello@timelaps.io.
Can you track brand health at the speed of AI, where the landscape shifts faster than ever?
Yes. Fieldwork runs continuously and your dashboard refreshes monthly (or faster), so you're never reading last quarter's market. When mindshare moves after a launch or a rival's release, you see it in weeks, not in next year's brand study.
Can you measure which use-case moments we own, like "help me write this" or "build this app," against the default?
Yes. We map the moments people reach for a tool in your category as Category Entry Points, then track which brands come to mind for each. You see exactly where you're the default, where you're the alternative, and where you're not in the room.
Can you measure both our target customer segment’s mindshare and general-consumer perception separately?
Yes. We can run and report segments side by side: developers versus general consumers, current users versus prospects, or any cut that matters to you. You see where the audiences diverge, which in this category they usually do.
What quality controls and fraud detection do you use?
Every response runs through multiple layers: attention and consistency checks, speeding and straight-lining detection, duplicate and bot screening, and panel-side fraud filters. Low-quality responses are removed before anything reaches your dashboard, so you're acting on clean data.
Do you support multi-market tracking with consistent methodology?
Yes. We run the same methodology across every market, with census-matching applied per country, so results are comparable market to market. Track one region or many, and trust that a move in one country means the same as a move in another.
Can you tie a launch or viral moment to a measurable brand shift?
Yes. Continuous tracking gives you a before and after around every release, announcement, and news cycle. You learn whether the moment built durable awareness and preference among category buyers, or just trended inside the bubble for a day.
Can you benchmark us against the category leader and emerging rivals at once?
Yes. You define the competitive set and can update it as the market shifts, which in AI it will. Every metric is tracked against that set, so you always know your position in the actual race, not last year's version of it.
Can we publish reports and post social media content using the data and analysis?
Absolutely. Remember to tag us so we can help amplify!