← Idea market
Education100 searches / mo

Coding practice streaks

Daily reps with real feedback.

Opportunity score

3,322 / 10k

Niche, but buildable. Small audience, low noise.

Rank

#155

Gap

A

  • Demand

    0

    100 contestable searches a month across 2 related keywords.

  • Momentum

    43

    Last three months ran down 8.4% against the three before, seasonality smoothed out.

  • Competition gap

    68

    15 real products rank on page one for this, ad competition 0.00.

  • Crowd

    44

    8 head-to-head rankings from builders, counted at partial weight until 20.

  • Willingness to pay

    n/a

    No ad pricing on this keyword, so there's no read on whether money moves here.

What this score is based on

evidence checked 9/27/2026

  • Search demand verified against Google Ads data
  • 12 months of search history
  • 2 related keywords clustered
  • 8 firsthand pain signals from forum threads
  • 15 competitors analyzed from page-one results
  • 8 crowd rankings from builders

Search demand comes from Google Ads data via DataForSEO and refreshes daily. Competitors come from a live scan of page-one results. Crowd input comes from builders ranking ideas 1-2-3 on the market.

Keyword cluster

2 keywords · 100 searches a month combined

Demand counts the whole cluster: 100 searches a month across every relevant way people look for this problem. The intent label on each keyword tells you how close that searcher is to wanting software.

KeywordIntentSearchesCPCAd comp.
leetcode trackerwants a tool90-0.00
leetcode time trackerwants a tool10-0.00

CPC is what an advertiser pays Google for one click on that phrase — a rough price tag on how valuable the visitor is. Ad comp. runs 0 to 1 and is how full the ad auction is: near 1 means advertisers are fighting over it (money is there, but ranking is hard), near 0 means almost nobody bids.

Who has the problem

Logging practice details is manual and inefficient, making it hard to consistently track progress, revisit weak problems, and assess interview readiness over time. Without a robust system, coders struggle to remember key insights or confidence levels for problems they've already solved.

"I was using Google Docs before but it was too much inefficient."from a thread we pulled below
Who experiences it
A person preparing for tech job interviews through coding practice.
When it happens
They finish a coding problem on LeetCode and need to log their progress and insights.
How often
This occurs daily or whenever they practice coding problems.
What they do today
They use Notion, Google Docs, or self-built dashboards to track solved problems, revision needs, and confidence levels, but these are often inefficient or require manual maintenance.

Read off 2 search phrases and 8 forum threads listed below, 9/27/2026.

Why now

Demand is cooling; build only if you have an angle the incumbents lack.

  • Searches are down 22% year over year

    93 a month twelve months ago → 73 now for "leetcode tracker".

  • Cooling 8% over the last quarter

    Last three months of searches against the three before them.

  • Peaks in December

    Demand swings 56% across the year, so ship roughly two months before December.

  • 9 real products on page one

    Alongside 6 articles and reference pages, which is room a focused tool can take.

  • 8 builder rankings back it

    Crowd rating 1500 Elo from head-to-head votes on the market.

Search data

verified · dataforseo:us · refreshed 9/27/2026

Lead keyword
leetcode tracker
Cluster volume
100 / mo
across 2 related keywords; lead phrase is 90 / mo
CPC
-
what an advertiser pays for one click here
Ad competition
0.00
0-1 scale: barely any advertisers bidding

Opportunity score 3,322 = 40% contestable search demand (100 a month across 2 keywords) + 25% how open the competition still is (15 products on page one) + 15% momentum (last three months vs the three before, capped so one bucketed month can't swing it) + 10% willingness to pay (no ad pricing) + 10% crowd rankings (Elo 1500, 8 head-to-heads, weighted by how many votes exist). Anything we can't measure is dropped and the rest re-weighted, so a blank signal never counts as an average one. Search data refreshes daily from Google Ads via DataForSEO.

Monthly searches for "leetcode tracker"

8 votes · demand from dataforseo:us, updated 9/27/2026

93
Sep 25
93
Oct 25
114
Nov 25
114
Dec 25
114
Jan 26
93
Feb 26
93
Mar 26
73
Apr 26
73
May 26
73
Jun 26
73
Jul 26
73
Aug 26

Peak 114 · latest 73 · low 73 searches a month

Google reports monthly volume in fixed buckets (…27,100 · 33,100 · 40,500 · 49,500), so steady months land on the exact same number. Weekly data isn't published.

This chart tracks the single lead phrase. The demand score uses the whole cluster of 2 related phrases (100 searches a month), listed below.

Revenue potential

estimate, not a promise

Priced and converted as a hard to charge for directly — the funnel below changes with that model, because a freemium consumer app and a B2B tool convert nothing alike.

MRR by month 12

$0 – $2

0–0 paying users · +0–0 new a month at 7% churn

Year-one run rate

$3 – $21

the month-12 number annualised — you earn less than this during the ramp

Price

$9/mo

same price as the business model below

24-month projection

log scale

Month 24 · hover to scrub

Slow build $0Good execution $2Breakout $32

The two solid lines are the range above: a slow build and good execution on a slice of this demand. The dashed line is the breakout — you become the default answer for this problem, take roughly a quarter of the intent, convert far better because people arrive already sold, and churn halves. That's the outcome worth chasing, and it's about $32 a month by month 24 (7 paying users). Most ideas land on the bottom line; the point of the chart is that the ceiling isn't the estimate.

How we got there

  • 100 cluster searches a month, 1.6x for app stores and word of mouth.
  • You reach 1.0-6.0% of that, scaled by ad competition 0.00.
  • 12% of visitors sign up, 2% of those pay. Freemium consumer: roughly 1-3% of free users ever pay, so this needs volume.
  • That wins 0-0 new subscribers a month. Stack 12 months of that against 7% monthly churn and you're holding 0-0 paying users by month 12.
  • Price $9/mo, taken from the business model below.

Who already builds this

9 real products · 6 articles, explainers and store pages · 6 read in depth · scanned daily on Google for "leetcode tracker"

9 real products own this search. Everything else on page one is a roundup, review post or explainer, listed separately below.

  • #1Notion

    Ranks #1 on Google for "leetcode tracker".

    Pricing Free

    Strengths Users praise it for being well-organized, easy to use, and effective for tracking LeetCode progress.

    Weaknesses The template itself does not have a dedicated pricing page, and its functionality is dependent on the Notion platform which has its own pricing tiers.

    ~1,138,965 organic visits a month (estimate)

    notion.com · from live Google results · verified Aug 18

    source page
  • #3Track Leetcode

    Ranks #3 on Google for "leetcode tracker".

    ~8 organic visits a month (estimate)

    track-leetcode.vercel.app · from live Google results · verified Aug 18

    source page
  • #3Leetcode

    Ranks #3 on Google for "leetcode time tracker".

    ~1,026,782 organic visits a month (estimate)

    leetcode.com · from live Google results · verified Aug 18

    source page
  • #5Github

    Ranks #5 on Google for "leetcode time tracker".

    Strengths Helps track problem-solving time and progress on LeetCode, with features like statistics, sorting, searching, and CSV export. Has a stable Chrome Store build.

    Weaknesses Still in development, with listed features yet to come like Dark mode, custom time limits, date sorting, and support for other platforms like HackerRank and CodeChef. Requires manual installation for GitHub users.

    ~48,832,405 organic visits a month (estimate)

    github.com · from live Google results · verified Aug 18

    source page
  • #12Xiaoyehua

    Ranks #12 on Google for "leetcode tracker".

    ~1 organic visits a month (estimate)

    xiaoyehua.gumroad.com · from live Google results · verified Aug 18

  • #13Leetcode Tracker

    Ranks #13 on Google for "leetcode tracker".

    ~1 organic visits a month (estimate)

    leetcode-tracker.codinggita.in · from live Google results · verified Aug 18

  • #14Leettrack

    Ranks #14 on Google for "leetcode tracker".

    ~1 organic visits a month (estimate)

    leettrack.dev · from live Google results · verified Aug 18

  • #15Ijcsejournal

    Ranks #15 on Google for "leetcode tracker".

    ~66 organic visits a month (estimate)

    ijcsejournal.org · from live Google results · verified Aug 18

  • #20Scribd

    Ranks #20 on Google for "leetcode tracker".

    ~41,432,922 organic visits a month (estimate)

    scribd.com · from live Google results · verified Aug 18

Also ranking, but not products (6)

Roundups, review posts, explainers and store pages. They compete for the search, not for the job — they don't count against the competition gap.

Likely business model

willingness to pay 4/100

Hard to charge for directly

Every one of the 4 competitors we read gives this away free — the money here is attention, not subscriptions.

How rivals make money 4 competitors read: all free or ad-supported.

Price to test · from ad click value

$4–$14/mo

No competitor charges for this. If you do put a paid tier up, this band is what the keyword implies people are worth, not what anyone is proven to pay.

What to charge for

Free tool, revenue on the side: affiliate links, sponsored placements or a paid pro layer for the small slice who use it weekly. Charging at the front door means competing with free.

Willingness-to-pay evidence

  • 4 competitors read: all free or ad-supported.
  • 0% of the 2-keyword cluster is commercial-intent wording (best, app, pricing, alternative).
  • Ad competition 0.00 — few advertisers fighting for it.

Firsthand pain signals

8 discussions · source links, check them yourself

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