Based on the "Bakuman" series, featuring characters like Miho Azuki. Common "Patches": Translation Patches: Fan-made English or multi-language text overwrites. Unlock Mods:
– Some niche visual novels or RPG Maker games have fan-made patches that aren't publicly indexed.
Here is a full article examining what these terms mean, the context of the "patched" ecosystem, and the implications for users. linda project bakulove patched
The Linda project, with its recent patch, Bakulove, has been a significant undertaking aimed at enhancing the existing Linda framework. The primary goal of this project was to address current limitations, improve performance, and add new features to make the Linda system more robust and efficient.
: One of the earliest collaborations with Elaine M. Rennie. Based on the "Bakuman" series, featuring characters like
| Week | Milestones | |------|------------| | | • Add bakur_love_opt_in flag & UI toggle. • Build Match Service skeleton (REST endpoints). | | 2 | • Implement batch job (Spark) to generate daily_matches . • Create notification template and integrate with Linda‑Notify. | | 3 | • Finish Match Detail UI + API. • Implement Say Hi flow (conversation creation + ice‑breaker). | | 4 | • Add feedback endpoint & analytics pipeline. • Conduct privacy & security review , QA, and launch beta to 5 % of users. | | Post‑Launch | • Monitor KPIs, iterate on weighting algorithm, roll out to full user base. |
| # | As a … | I want … | So that … | Acceptance Criteria | |---|--------|----------|-----------|----------------------| | | Registered user | to enable the Bakur Love engine from my profile settings | I control whether I’m in the matchmaking pool. | • Setting toggle ON/OFF in Profile → Social . • When ON, user appears in matching pool after 24 h. • When OFF, user is instantly removed and no further suggestions are sent. | | US‑02 | Registered user | to receive a daily “Love‑Match” notification with up to 3 curated profiles | I can quickly see who might be a good fit without hunting. | • Push notification sent once per day at user‑selected time (default 9 am). • Contains thumbnail, name, shared‑interest badge, and “Say Hi” CTA. • If user opens notification → opens Match Detail screen. | | US‑03 | Registered user | to view a detailed match card that shows common interests, love‑language compatibility score, and recent activity. | I can decide whether to start a conversation. | • Card shows: • Name, age, location (optional). • “Compatibility %” (weighted algorithm). • Top 3 shared interests (icons). • Love‑language overlap (e.g., “Both value Words of affirmation”). • Last‑seen timestamp (if user allows). | | US‑04 | Registered user | to initiate a conversation with a single‑tap “Say Hi”. | I don’t have to type a message first. | • “Say Hi” sends a pre‑filled ice‑breaker (randomly chosen from a pool of 20). • Conversation thread opens instantly. • Recipient gets a push notification “X said hi!”. | | US‑05 | Registered user | to give feedback on each suggestion (👍 / 👎). | The algorithm learns my preferences. | • Feedback button appears on the match detail screen. • Feedback is stored and feeds into the recommendation model within 24 h. | | US‑06 | Privacy‑concerned user | to pause or delete my match data at any time. | I keep control of my personal info. | • “Pause Matching” toggle removes user from pool instantly. • “Delete Matching Data” button erases all stored match‑history logs (subject to audit‑log retention). | | US‑07 | Product analyst | to see analytics on match conversion, opt‑out rates, and feedback distribution. | I can iterate on the algorithm. | • Dashboard (Grafana/Looker) showing: • Daily matches sent, opened, responded. • Conversion funnel (Match → Say Hi → Chat). • Opt‑out / pause counts. | Here is a full article examining what these
: A staple of the project's sound.
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