Your library system score

A circular scorecard shows what percentage of tracks currently satisfy the personal rules you configured, along with quick access to the Your System page.

Why it matters: The score highlights how reliably your collection meets the standards you set so you can prioritise maintenance work before shows.

How to interpret the results: Higher percentages mean more tracks pass your rules; click “View my system” to see detailed issue lists when the gauge surfaces problem areas.

Things to watch for: Until you save any system rules, the card shows a prompt to configure your system first.

Today’s missions

A card previews three rotating missions, each linking straight to the full Missions page so you can act on the day’s most relevant clean-up or digging tasks.

Why it matters: Treat each tile as a quick-start CTA; click through to review the mission panel, charts, and download playlists that help complete the actions listed.

Your path (achievement preview)

Highlights the most recent achievement you earned, including its icon, description, and the date you unlocked it, with a shortcut to the full Your Path page.

Why it matters: Each achievement is a step toward better prep habits and helps keeps you motivated to complete the remaining milestones in each path.

Forgotten gem

Surfaces one overlooked track, typically old, unplayed, uncued, or not filed into playlists.

Why it matters: It spots neglected material so you can either reintroduce it to your sets or consciously remove dead weight from the library.

How to interpret the results: Read the description to see which neglect signals were tripped and use it narrative to decide whether to prep, playlist, or archive the track.

Things to watch for: The selector skips tracks lacking core fields. Tracks with at least basic metadata added are more likely to show up in here.

New artists spotlight

Highlights either the latest artist you added, a newcomer from the last month, or an underrepresented artist in your crates, depending on recent activity.

Why it matters: Keeping tabs on fresh artists keeps your digging routine vibrant and prevents your sets from leaning too heavily on the same names.

How to interpret the results: If a badge shows “recent,” you added that artist within the last 30 days; “last” means it’s the most recent newcomer, and “bottom” points out an artist you own very few tracks by.

Things to watch for: The card falls back to a spinner or “No new artists” when you haven’t imported new names recently.

System rules builder

A settings panel lets you define minimum hot or memory cues, required metadata fields, flag thresholds, and playlist requirements for your library system.

Why it matters: Turning personal standards into explicit rules allows the app to monitor your library automatically and flag anything that falls outside your workflow.

How to interpret the results: Adjust sliders and switches to match your prep philosophy; once saved, the Library System score and issue cards use these thresholds to grade tracks.

Things to watch for: Toggle switches disable their associated dropdowns when off, and rules stay inactive until you save them, so double-check the inputs before expecting issue counts to update.

Too few hot cues

Lists tracks whose hot cue count falls below your configured minimum, showing how many items miss the mark.

Why it matters: Tracks with sparse cues are harder to navigate quickly, increasing the chance of scrambling during a set.

How to interpret the results: Any track here needs more hot cues added to meet your standard; once the count meets the threshold, it disappears from the list.

Too few memory cues

Flags tracks that don’t reach your minimum memory cue count, drawing on the rule you saved.

Why it matters: Memory cues speed up long-form navigation; without them, revisiting key phrases mid-set takes longer. They are also more reliable on older CDJs.

How to interpret the results: Each entry needs additional memory cues; once the count meets your requirement, it will clear out.

Unnamed cue points

Shows tracks whose cue markers lack labels, which can make mid-set navigation slower.

Why it matters: Named cues are easier to recognise under pressure, so this list tells you where to add context.

How to interpret the results: Rename cues on the listed tracks; once named, they’ll drop off the card.

No genre tag

Identifies tracks missing a genre tag, using your metadata rule selection.

Why it matters: Genre tags aid filtering and crate building, especially on gear with limited search options.

How to interpret the results: Add or correct genres on these tracks to remove them from the issue list.

No artist info

Lists tracks without artist metadata, which hampers searching and crediting in tracklists.

Why it matters: Missing artist names make it hard to locate songs quickly or provide accurate tracklists.

How to interpret the results: Populate the Artist field for each track; once filled, they disappear from the card.

No year metadata

Flags tracks without a usable year, pointing out where context is missing.

Why it matters: Year tags support historical or thematic sets where era matters.

How to interpret the results: Fill in the year (or a zero if intentionally blank) to remove tracks from the list.

No custom MyTags

Highlights tracks missing MyTags, signalling a lack of contextual labelling.

Why it matters: MyTags provide vibe, energy, or crowd cues that make crate digging faster when preparing sets.

How to interpret the results: Add at least one tag to each track so it aligns with your organisational system.

Things to watch for: This issue only shows when “At least 1 MyTag” is enabled in your rules.

No colour tag

Surfaces tracks without grouping or colour metadata when that requirement is turned on.

Why it matters: Colour or grouping tags speed up visual scanning on CDJs or in Rekordbox.

How to interpret the results: Apply grouping colours to listed tracks to meet your rule and clear the card.

No key information

Calls out tracks lacking key metadata, limiting harmonic mixing options.

Why it matters: Knowing key relationships keeps harmonic transitions smooth, especially with vocals.

How to interpret the results: Re-analyse or tag each track’s key; once populated, they disappear from the list.

Low audio quality

Lists MP3 files below your chosen bitrate threshold so you can replace them with higher-quality versions.

Why it matters: Low bitrate tracks can crumble on big sound systems; swapping them prevents weak-sounding sets.

How to interpret the results: Replace or remaster the highlighted files; when a better copy is loaded, they fall off the card.

Prepped but unused

Finds tracks that meet your prep criteria but haven’t been played within your configured time window.

Why it matters: It keeps prep efforts from going to waste; either work these into sets or reconsider why they’re lingering.

How to interpret the results: Any track here deserves a rehearse and deploy session

Improve your prep

Bundles actions that fix missing genres, keys, grouping tags, and monitors how prep work is trending by track age.

Why it matters: Solid metadata underpins every search, playlist, and performance; closing these gaps ensures the rest of your system works smoothly.

How to interpret the results: Use the counts and charts in each action to prioritise which missing fields to tackle first; download playlists when you’re ready to batch-fix tracks.

Things to watch for: Streaming-only playlists aren’t supported in Rekordbox imports. The card will tell you when that happens so you can focus on local files first.

Fix your cue system

Targets tracks without cues, unnamed cues, under-prepped genres, and other cue-related blind spots.

Why it matters: Consistent cueing keeps you fast and confident mid-set; these actions highlight where prep hasn’t kept pace with your playing habits.

How to interpret the results: Higher counts mean more tracks need cue work; start with “Most-played tracks with no cues” for the biggest immediate payoff.

Things to watch for: Some missions rely on play counts or cue metadata; if those exports are missing, the counts will stay at zero until you refresh the data.

Clean the clutter

Surfaces low bitrate files, odd file sizes, duplicates, and long-ignored tracks so you can tidy the library.

Why it matters: Removing poor-quality or redundant files speeds up backups and keeps only reliable material gig-ready.

How to interpret the results: Treat each count as a to-do list; when non-zero, download the suggested playlist to audition and clean those tracks.

Things to watch for: As it is resource intensive duplicate scanning requires a manual “Scan now” trigger before the playlist download appears.

Track my sound

Combines a digging timeline, new artist tracker, and recent genre spotlight to show how your taste is evolving.

Why it matters: Spotting trends keeps you intentional; are you broadening horizons or falling into ruts? The charts answer that at a glance.

How to interpret the results: Rising counts indicate momentum; if the same genre dominates, use it to decide whether to double down or diversify your searches.

Things to watch for: Without complete date, genre, or artist metadata the charts flatten out. Complete missions from ‘Improve your prep’ to update your exports if you see blanks.

Spot my music gaps

Highlights underrepresented favourite artists plus key and BPM ranges you rarely cover.

Why it matters: Filling these gaps broadens mix options and uncovers obvious digging targets that match your existing taste.

How to interpret the results: Use the artist list for a shopping list; the balance bars show which keys or tempos need reinforcement if you want smoother transitions.

Things to watch for: If you only play a single tightly defined style, expect some ranges to stay empty; interpret the warning in that context.

Improve my curation

Calls out genres you play without enough cue prep and tracks you’ve added but never played.

Why it matters: It keeps your intake funnel honest; only keep tracks you prep and actually use, otherwise the library bloats.

How to interpret the results: A non-zero count means there’s backlog to review; download the playlists to audition and decide whether to prep or purge.

Level up my playlists

Analyses playlist balance, flags prepped orphan tracks, and offers downloads to fill gaps.

Why it matters: Balanced playlists translate into intentional, engaging sets instead of repetitive mixes.

How to interpret the results: Use the balance view to spot categories you’re overusing, then drag the orphaned or prepped tracks into playlists to keep your pipeline moving.

Unlock hidden gems

Focuses on prepped but unplayed and orphaned tracks so you rediscover overlooked material.

Why it matters: Mining forgotten prep work rekindles inspiration and ensures earlier efforts don’t go to waste.

How to interpret the results: Any listed tracks are ripe for rehearsal or removal; download the playlists to audition them immediately.

Get inspired

Suggests prepped but unplayed tracks, underused genres, and playlist challenges to spark new ideas.

Why it matters: Blending neglected material with creative prompts stretches your sound beyond habitual choices.

How to interpret the results: Treat each item as a creative brief; try the playlist challenge or focus on the least-used genres to refresh your next set.

Things to watch for: If you have very little genre diversity, “underused genres” may repeat the same handful of tags until you broaden your collection.

Crate digging trends

Shows how many tracks you added in each of the last three time windows to reveal momentum or slowdowns in digging.

Why it matters: Steady additions keep sets fresh; the trend view spots dry spells so you can schedule new digs before things get stale.

How to interpret the results: Compare the latest bar to the previous two; if the current period lags, it’s time to hunt for new music.

How you use cue points

Breaks down where along the track you place cues and highlights your dominant range.

Why it matters: Balanced cues unlock more transition options; clustering them in one area hints at prep habits that might limit performance flexibility.

How to interpret the results: The bar with the badge is where you drop most cues; large gaps elsewhere suggest parts of tracks you’re not preparing for mixes.

Things to watch for: If exported data lacks cue details or track lengths, the card can’t calculate placement and will show zeros until those fields are available.

Digging changes Genre / Key / BPM

For each dimension the card reports the top genre, key, and BPM you’ve added in the current period and how that compares with the previous two periods.

Why it matters: Tracking swings in style, harmonic palette, or tempo keeps your collection balanced and prevents over-investing in one vibe unless it’s intentional.

How to interpret the results: The badge shows the leading genre, key, or BPM this period; the percentage change indicates whether you’re adding more or less of it than before.

Things to watch for: Missing metadata results in blank labels and zero counts, signalling that cleaning tags will unlock the insight.

New artists

Counts how many artists first appeared in your library across three time slices, spotlighting how adventurous your recent digging has been.

Why it matters: Introducing new artists prevents sets from sounding predictable and keeps your creativity flowing.

How to interpret the results: The headline number is how many first-time artists you added in the current window; compare it with earlier periods to see if discovery is ramping up or slowing down.

Your Key × BPM Landscape

Visualises how well your collection covers combinations of musical key and tempo, flagging hotspots and empty zones that could block harmonic transitions or genre bending transitions.

Why it matters: Balanced grids unlock smoother mixes; spotting sparse clusters guides your next digging mission toward missing key or BPM pockets.

How to interpret the results: “Gaps detected” means neighbouring cells around your strongest clusters are empty; “well covered” encourages deepening the busiest cells, and “too sparse” signals you need more data before insights emerge.

Things to watch for: Sparse exports without valid key or BPM data force the card into the “too sparse” state, letting you know tagging must happen first.

How do I cancel my subscription?

You can cancel your subscription at any time through the ‘My profile’ page on the app and then clicking ‘Manage my subscription’.

Alternatively you can access your billing directly here using the details you made the purchase with (this is different your librarydojo login).

How do I update my payment details?

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I bought my licence, now what?

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• Go to https://app.librarydojo.com and click ‘Get started’.
• Click the ‘Sign up’ link at the bottom of the form
• Create your librarydojo account. You will be redirected back to the app
• After you log in with your details, you will be prompted to link your licence key to your librarydojo account

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I’m having trouble with something else

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