Compound the right habits.
Productivity advice is mostly opinion. CalcBold's Productivity calculators are math: how 1% daily compounding becomes 37× over a year, how cognitive load drops once you close 25 todos, why your decision quality crashes after the 70th conscious choice of the day, what your real probability of success is once you compare against base rates, and which day of the year your move actually saves the most rent. No life hacks. Just the numbers showing what's actually load-bearing.
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- #1 Most-searched
Compound Habit Calculator
Drop a habit, the daily improvement rate (% compounded), the time horizon, and your current baseline. Calculator computes the compounding multiplier (the famous Atomic Habits 37.8× framing for 1%/day over 1 yr), surfaces 1-yr / 5-yr / 10-yr trajectories, and frames the result in habit-specific cumulative units (reading hours → books, writing words → novels, language minutes → CEFR fluency).
120K+/month
- #2
Probability of Success Calculator
Drop your project type, prior experience, team size, runway, and timeline realism. Calculator anchors against published base rates (cold-start SaaS 4%, restaurants 30%, books 8%, agencies 22%, etc.) and adjusts for your specific personal advantages — surfacing your honest adjusted probability and the single biggest risk in the math.
30K+/month
- #3
Cognitive Load Calculator
Drop your active projects, daily decisions, open todos, weekly meetings, daily notifications, and 7-day average sleep. Calculator computes a 0-100 cognitive-load score against published thresholds (Miller 7-item working memory, Bargh & Vohs 60-decision ceiling, Atlassian 23-min interruption-recovery, Walker sleep literature), identifies your top drag, and recommends the single highest-leverage reclaim.
25K+/month
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Compound Habit Calculator — instant
The productivity tool with the highest monthly demand. Run it here, then open the full version for AI insight, scenarios, and embed code.
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Compounding & Mental Models
2 tools- Compound Habit New
Compound Habit Calculator
Drop a habit, the daily improvement rate (% compounded), the time horizon, and your current baseline. Calculator computes the compounding multiplier (the famous Atomic Habits 37.8× framing for 1%/day over 1 yr), surfaces 1-yr / 5-yr / 10-yr trajectories, and frames the result in habit-specific cumulative units (reading hours → books, writing words → novels, language minutes → CEFR fluency).
120K+/month - Probability of Success New
Probability of Success Calculator
Drop your project type, prior experience, team size, runway, and timeline realism. Calculator anchors against published base rates (cold-start SaaS 4%, restaurants 30%, books 8%, agencies 22%, etc.) and adjusts for your specific personal advantages — surfacing your honest adjusted probability and the single biggest risk in the math.
30K+/month
Time & Decision Quality
3 tools- Cognitive Load New
Cognitive Load Calculator
Drop your active projects, daily decisions, open todos, weekly meetings, daily notifications, and 7-day average sleep. Calculator computes a 0-100 cognitive-load score against published thresholds (Miller 7-item working memory, Bargh & Vohs 60-decision ceiling, Atlassian 23-min interruption-recovery, Walker sleep literature), identifies your top drag, and recommends the single highest-leverage reclaim.
25K+/month - Best Day to Move New
Best Day to Move Calculator
Drop your city tier, current lease-end month, flexibility window, unit size, and negotiation propensity. Calculator surfaces the optimal mid-month move date in your city — rents drop 6-12% in winter for tier-1 metros (NYC, SF, LA, Boston, DC, Chicago) — and computes annual savings vs the worst-month alternative within your flex window.
20K+/month - Decision Fatigue New
Decision Fatigue Calculator
Drop your daily conscious-decision count, trivial/meaningful split, scheduled-routine %, mental-rest blocks, alcohol/wk, and average sleep. Calculator surfaces effective decisions after routine, rest recovery, alcohol + sleep penalties, and the specific hour of the day your decision quality crashes — calibrated against Bargh & Vohs / Vohs & Heatherton glucose-willpower research and Walker sleep literature.
15K+/month
Sources we cite
Where the productivity numbers come from
Working-memory research (Miller) · Bargh & Vohs decision-fatigue · Cal Newport deep work
Frequently Asked Questions
The most common questions we get about this calculator — each answer is kept under 60 words so you can scan.
Why a separate Productivity category instead of folding into Career or Decision & Life?
Because productivity math has its own shape — compounding habit projections, cognitive-load scoring against working-memory limits, decision-quality crash hour modelling, base-rate-anchored success probabilities — that doesn’t map cleanly onto Career take-home or Decision & Life GO/TIGHT/DON’T-YET templates. Career calcs answer ‘what do I take home?’; Decision & Life calcs answer ‘should I do this big thing?’; Productivity calcs answer ‘what daily-system levers actually move the needle, and which ones am I undervaluing?’ Folding into either would have hidden the differentiation that makes these calcs useful.What data sources back the cognitive-load model?
Working-memory research (Miller, ‘The Magical Number Seven’) for the 7-item open-loop limit. Decision-fatigue research (Bargh & Vohs at Yale, Vohs & Heatherton on glucose / willpower) for the ~60 conscious-decisions/day ceiling. Sleep literature (Walker, ‘Why We Sleep’; Huberman Lab) for the <6 hr cognitive-degradation thresholds. Atlassian’s 23-min-recovery-per-interruption research for the notifications model. Cal Newport’s ‘Deep Work’ for the meeting-fragmentation framing. Each calculator page links the source. The math weights are calibrated against published thresholds; the calculator is decision-support, not a clinical diagnostic.How should I interpret the probability-of-success base rates?
Base rates are the historical median for projects of that type — what fraction of people who started actually reached ‘successful’ (paying customers, sustained income, published, exited, whatever the field considers success). Cold-start SaaS at 4% means 4 out of 100 indie SaaS founders reach $1K MRR sustained. The adjusted probability factors in your specific personal advantages (prior experience, team, resources, timeline realism) and produces a number specific to your situation. Use it as a sanity check against the optimism bias every founder carries — most people overestimate by 5-15× because they don’t honestly compare against the base rate.How does compound-habit math compare to gym / language-learning literature?
It matches. Gym literature (Schoenfeld’s hypertrophy work) shows muscle gains compound for 2-4 yrs of consistent training before plateauing — exactly the ‘compounding multiplier’ pattern the calc surfaces. Language-learning research (CEFR data) shows ~600 hrs of focused study reaches B2 fluency, which the calc’s 30 min/day × 5 yrs = 912 hrs framing exceeds with margin. Reading literature (Mortimer Adler’s ‘How to Read a Book’, Bryan Caplan’s reading-pace research) gives the 91-books-per-5-yrs-at-30-min/day estimate. The math isn’t novel — it’s just that nobody runs it before deciding which habit to compound on.