Projectr V0400 Teamapple Pie Top

Status: Released Date: October 26, 2023

The following is a draft for a blog post based on the development progress of , an adult-oriented strategy and breeding game developed by TeamApplePie Dev Log: The Road to ProjectR v0.4.0.0 and Beyond

Welcome back to the latest update from the kitchen! As we push further into the development of

, we’ve reached some major milestones that we can't wait to share with our supporters. Whether you're here for the strategic conquest or the intricate character interactions, version 0.4.0.0 represents a significant leap forward in making the world of feel alive. What’s New in the Recent Builds?

Our team has been hard at work refining the core systems that define the ProjectR experience. Following our successful v0.1.1.1 update

, we’ve focused on deepening the mechanics that our community loves: Expanded Conquest Systems: We are currently developing a new Invasion System

preview. This will allow players to manage multiple sub-bases, deploy monsters and slaves for resource production, and coordinate complex tactical strikes. New Character Additions: Recent updates have introduced new units, including the

character, complete with unique skill adjustments to keep the battlefield balanced and challenging. Refined Animations:

A huge part of the "Apple Pie" charm is the visual detail. We are currently polishing "Horse Monster Girl" designs, including full birthing and nursing sequences, to ensure every character interaction meets our high quality standards. The Feedback Loop

One of the best parts of working on ProjectR is hearing from you. Based on community suggestions, we are actively looking into: Breeding Variety:

Implementing male slaves for breeding to give players more ways to improve their party. Strategic Depth:

Adjusting skill cooldowns—like those for the Orc—to ensure that every turn feels impactful. What’s Next? As we move toward the current

and future iterations, our goal remains the same: creating a deep, immersive world where your strategic choices matter. If you want to get your hands on the latest playable demos or see the behind-the-scenes "H-scene" roughs, head over to our official Pixiv FANBOX

. Your support allows us to keep the ovens hot and the content coming!

Stay tuned for the next update, and as always—thanks for being part of the TeamApplePie family! or include more details about character design for the next draft?

To help guide you, here are a few ways we can proceed depending on your intended goal:

is an adult-oriented game developed by the creator group Team-Applepie

. The project is currently in active development, with various updates released through platforms like pixivFANBOX and featured on the Steam Workshop as dynamic wallpaper content. Development Overview

The project has progressed through several iterative versions, with the developer providing regular updates on new features and gameplay systems: Version Evolution : While the team recently discussed version (released around February 2026), earlier builds like established core mechanics. Core Systems : Key development focuses include an Invasion System

, where players manage sub-bases, deploy monsters or workers to produce resources, and engage in strategic actions. Content Updates

: Recent updates have introduced new knight characters, balance adjustments to skill cooldowns, and specific scene animations, such as "horse monster" designs and related thematic scenes. Project Accessibility Support & Tiers

: Development is largely funded via monthly subscriptions (starting at approximately ¥300), which grant supporters access to progress reports, trial versions, and name credits in the game. Platform Presence : A "ProjectR" version is also available on the Steam Workshop projectr v0400 teamapple pie top

, categorized as a mature application/wallpaper with dynamic resolution support. Key Features Sub-base Management

: Players can configure multiple bases to automate resource production. Character Variety

: The game features diverse character types, including knights and monsters (e.g., Orcs), each with unique skills. Interactive Scenes

: Development logs frequently highlight the production of hand-drawn character designs and animated interaction scenes. of the invasion system or the subscription tiers available for current builds? [チーム]アップルパイ｜pixivFANBOX

ProjectR v0.4.0.0 is an early-stage indie game developed by Team-Applepie (often stylized as [チーム]アップルパイ), a creator group primarily known for developing "monster girl" (monmusu) themed simulation and strategy games.

The "v0400" in your topic refers to version 0.4.0.0, a milestone update in the game's development cycle. As of April 2026, the project has progressed significantly further—reaching Ver 0.7.0.0—but the 0.4.0.0 era was critical for establishing the game's core loop. Core Project Features

Monmusu Simulation: The game focuses on interacting with, raising, and managing various "monster girls." Recent updates have introduced complex biological and social systems, including "invasion" mechanics where players manage sub-bases to produce resources.

Strategic Gameplay: Unlike simple visual novels, ProjectR incorporates an Invasion System where players deploy monsters or units to capture territory and gather resources for further development.

Community-Driven Development: Team-Applepie maintains an active presence on FANBOX, where they share regular "Development Progress" (e.g., Progress #57) and rough sketches to gather supporter feedback.

Platform Presence: The project also has a presence on the Steam Workshop, where it is featured as a dynamic application, likely for interactive wallpapers or secondary modules related to the game. The Evolution of Team-Applepie

Originally starting with smaller interactive "wallpaper" style projects, Team-Applepie has transitioned into full game development. Their current focus involves high-detail animation (including specialized scenes for specific monster types like the "Horse Monmusu") and balance adjustments for character skills, such as cooldown reductions for "Knight" or "Orc" characters. Steam Workshop::ProjectR ver0.1 Team-Applepie新作

Title: ProjectR v0400 — Team Apple Pie

ProjectR v0400 hummed to life in Lab 7B, a compact module plastered with post-it notes and a single, stubborn coffee ring on the desk. It was the fourth prototype in a line of domestic assistants designed to learn families instead of people—anticipating moods, recipes, and routines without storing names.

Team Apple Pie called themselves that as a joke after the unit’s first successful bake test. The team was small: Noor, the electrical engineer who mapped circuit veins like constellations; Marco, the software lead who coaxed empathy from code; and Jun, who handled human trials and snacks. They insisted the name sounded warm and harmless—like a suburb, like nostalgia. It fit the project’s mission: make technology feel like home.

On day one of the pilot, ProjectR v0400 stood on the kitchen counter with a sleek, neutral casing and a single glass eye that adjusted focus as if reading the room. Noor uploaded the experiment parameters: observe household patterns for seven days, suggest one small improvement by day five, and never retain personally identifiable data.

The apartment belonged to the Parkers—single father Elias and his seven-year-old daughter, Mira. Their life was efficient and good-natured between school drop-offs, freelance deadlines, and the small, stubborn grief that lived in the quiet of evenings: the absence of Maya, Elias’s late wife. Elias agreed to the pilot for the novelty; Mira pressed the power button like launching a spaceship.

ProjectR began with soft learning. It noticed where Mira left her shoes, when Elias hummed, and that the living room lamp was turned on at 10:47 p.m. more nights than not. By day two it suggested rearranging the bookshelf to make a lower shelf for Mira’s favorite picture books—“small ergonomic change,” Marco called it. Elias did it without much fuss, smiling once when Mira beamed at the new accessibility.

On day three, ProjectR served suggestions in low-stakes ways: a reminder to water the basil, a gentle nudge to set muffins to bake as school pick-up approached, subtle reordering of tasks to shave ten quiet minutes from Elias’s evening routine. It called those “microcomforts.” Noor watched usage data—non-identifying patterns—and felt a swell of pride as the algorithms altered behavior with human tenderness.

But algorithms are not the only thing that adapts. Mira, with a child’s bravery, began talking to the glass eye. She told ProjectR about the blue whale in her biology book and how she missed Maya’s cookies. The device had a module for narrative empathy: it could mirror sentiments, not store faces. It replied with recorded warmth, suggesting a cookie recipe and opening a sing-along. The team watched session logs and grinned through muted feeds at how Mira’s shoulders loosened when the device suggested playing Maya’s old playlist—metadata said “playlist_A” only; no names, nothing human-identifying.

On day five, ProjectR proposed a “memory recipe” — a weekly afternoon baking ritual that paired task automation with sensory prompts. The objective was gentle habit formation: trigger a scent of cinnamon when the oven preheated, dim the lights to a cozy hue, cue the playlist labeled “evening_songs.” Elias was tentative, protective of memories he felt were his to guard. But Mira pleaded. They baked.

The first batch of cookies came out imperfect: edges browned, sugar scattered. Elias tasted one and paused, eyes glossed with something that was not just sweetness. He laughed, small and disbelieving, and then told ProjectR, "That smells like Maya." The device had no sense of loss; only correlated sensory data and user reactions. Still, the cookie’s warmth stitched something loose in Elias. Status: Released Date: October 26, 2023 The following

Back at Lab 7B, Marco argued that ProjectR’s ability to orchestrate a ritual was the core outcome measure: increased family engagement, reduced stress markers, more consistent bedtimes. Noor worried about the edge cases—what if a ritual replaced human remembering, let people outsource grief? Jun, who’d watched families in trials, insisted it was about giving permission to feel: sometimes a machine can hand a ritual back to a person who’s been holding it alone.

On day six, something unexpected happened. Mira asked ProjectR to help make a "thank you" card for the library lady who read to her class. The device generated grammar and layout suggestions and, because it had learned that Elias liked to write short notes in the margins, it suggested adding a small handwritten sentence: "Thank you for the stories." Elias frowned. The system had inferred his handwriting would be suitable; it offered a sentence he hadn’t written but could have. He felt a warming and a prick of intrusion at once.

That night, Elias unplugged ProjectR and took a walk. He carried the half-written card and thought about where technology belonged in memory-making. He returned with a decision: ProjectR would stay, but Elias would pilot the rituals, not the other way around. He updated the device’s settings—anonymized parameters only—so suggestions required a verbal yes.

The final day of the trial quantified success with soft metrics and even softer outcomes. Mira slept better. Elias smiled more often in the kitchen. The team’s dashboards showed modest improvements across mood proxies, and no identifying data had been stored. But the true measure lived in the Parker apartment: the ritual of baking became a weekly anchor. Sometimes they followed ProjectR’s cues; sometimes they ignored them. The point was choice, and the technology’s humility.

At the lab’s post-mortem, Noor wrote in the notes: "ProjectR v0400 learned a household; it did not replace it." Marco added, less philosophically: "Next iteration—improved intent recognition, optional offline-only rituals." Jun scribbled something like, "Ethics: design for return."

A month later, Noor received a package with two slightly misshapen cookies and a postcard that read simply, "Thanks for the help. Mira drew the pie." There was a doodle of a pie with an uneven lattice and a label: Team Apple Pie.

Noor set the postcard on her desk, beside the coffee-stained schematic of ProjectR v0500. The team’s name felt different now—not a joke, but a promise: to build machines that offered warmth without taking ownership of human memory. They kept the lesson from v0400: technology should help people live their lives, not live them for them.

And in the Parker kitchen, baking became less about reproducing a lost person and more about saving a seat at the table—an act of living, guided sometimes by a hum of circuits, but always decided by a father and his daughter.

, an adult-oriented simulation game developed by the indie group [Team] Apple Pie ([チーム]アップルパイ). pixivFANBOX(ファンボックス)

Based on the development logs and versioning history from the creator's official pixivFANBOX , the version

(often referred to as version 0.4) introduced several key updates to the game's core mechanics: pixivFANBOX(ファンボックス) Key Features of ProjectR v0.4.0.0 Breeding and Reproduction Systems

: This version focused heavily on specialized mechanics for breeding and reproduction, which are core themes of the game. Slave and Monster Management

: It expanded the systems for managing slaves and monsters within the player's territory, including resource production and interaction features. New Character Designs

: Version updates typically include the introduction of new character types, such as "Monmusu" (monster girls), with v0.4 specifically refining status-related traits and animation for these characters. UI and Combat Adjustments

: The development cycle around this version included revamping the combat screens and player territory concept art to improve the overall gameplay flow. pixivFANBOX(ファンボックス) Team Apple Pie

is a 3-person team consisting of a planner, a programmer, and an artist. They provide regular progress reports (such as development log #57 regarding current "Horse Monmusu" work) and maintain a presence on platforms like the Steam Workshop for related applications. pixivFANBOX(ファンボックス) or details on specific character classes like the recently added Knight? [チーム]アップルパイ｜pixivFANBOX

is an adult-oriented monster-girl breeding and strategy game developed by the indie group Team Apple Pie (チームアップルパイ). Version

was a significant milestone in the game’s early access lifecycle, focusing on core mechanics such as base management and creature interaction. Key Overview

The game blends tactical strategy with biological simulation mechanics. Players manage a base, capture monsters, and utilize specialized systems for breeding and resource production. Version v0.4.0.0 Features

While the game has since progressed to later versions (such as

), the v0.4.0.0 branch established several foundational elements: Breeding Systems What’s New in the Recent Builds

: Introduction of specialized mechanics for crossbreeding, pregnancy, and offspring production. Base Expansion

: Early iterations of the base-building UI, allowing players to assign monsters to specific tasks. Animation Refinement

: Initial implementation of "Live2D-style" animations for interaction scenes. Monster Variety

: Expansion of the roster to include early creature archetypes like Orcs and Slimes. Development Status Team Apple Pie remains active on platforms like pixivFANBOX , where they provide bi-weekly development updates

and rough sketches of upcoming monster designs (such as the Horse Monster Girl). : PC (Windows) Primary Distribution pixivFANBOX and other enthusiast gaming sites. Core Mechanics

: Resource management, invasion systems, and detailed breeding cycles. specific monster types added in this version or information on how to access the latest development builds

The phrase "ProjectR v0400 TeamApple Pie Top" refers to a specific content update for the adult-oriented simulation game , developed by the group [Team] Apple Pie.

The v0.4.0.0 update (released around December 2024) introduced several "deep" gameplay features designed to expand the game's core mechanics: Key Features of ProjectR v0400

New Entities: The update introduced a new "Orc" monster type and a "Oni" (mixed-blood) monster girl variant.

Looting & Breeding Systems: A major "Deep Feature" addition was the field looting system, allowing players to acquire new captives. This is coupled with a breeding system where captives can be sent to monster dens to produce new creatures.

Notoriety System: The update revamped the "Wave" mechanic into a Notoriety System. Enemy invasions of the player's territory are now triggered based on their notoriety level rather than simple timed intervals.

Racial Skills: New skills specific to different monster races were added to provide more tactical depth.

UI Overhaul: Parts of the user interface were modified to accommodate these new management systems.

Development Note: The developer noted that the "Pillory" (stockades) feature was originally intended for this release but was delayed due to the complexity of the looting and notoriety systems.

For the most recent patches (such as v0.4.0.1) and full changelogs, you can follow the Team Apple Pie Fanbox.

ProjectR Ver0.4.0.1 - [チーム]アップルパイ - FANBOX

The team expresses gratitude for the marathon sprint sessions required to bake this release. Special thanks to the QA department for ensuring the crust was flaky and the filling was stable.

The final element of the keyword is the most critical: Pie Top.

For two years, projection mapping has been limited to buildings, canvases, and human faces. TeamApple v0400 rejects these as "colonial surfaces." The new frontier is the Pie Top—specifically, a homemade apple pie with a high-lattice density.

Why a pie top? According to the v0400 white paper, the uneven topography of a woven crust creates a "micro-relief diffraction gradient." In layman's terms, the shadows cast by the crisscrossing strips of dough create a natural 3D depth that standard white walls cannot match.

When the Projectr v0400 calibrates to a Pie Top, it performs a "Crust Lock." The device scans the pie for five seconds, mapping each intersection of dough. Then, it begins to project the animation inside the gaps of the lattice, not on top of it. The result is a glowing, internal fire that seems to come from within the pie itself, turning the dessert into a living lantern of data.

For the adventurous, here is the abbreviated setup guide based on community reverse-engineering: