Backend and Frontend developer on Node.js/TypeScript token parser pumpfun or bonk
1. Dev Migration Logic
If the address has had at least one migrated token, then all its subsequent tokens:
automatically open in the browser (Google Chrome);
automatically open in the Axiom terminal.
Works for tokens with Pump.fun and Bonk.
The condition triggers up to a certain percentage (the threshold is set by the user in the web application).
Metric F - data is collected on how much total commission (trading fees) was paid when creating the token.
2. Community Admin
Each token with a community has its own admin (for example, elonmask).
For the first token of the new admin, the software collects basic metrics.
For subsequent tokens, the data is supplemented and recalculated.
Metrics:
TT - total number of tokens created by the admin;
ALLAM - median amount of maximum market cap across all tokens;
AM - median of maximum market cap for the last 5 tokens;
Last 5 tokens - stored with clickable names and links to Axiom (to view each token and its value 24K maximum cap);
F - commission paid by traders in tokens.
After the token's death, its values are fixed and added to calculations (to be displayed in the list of the last 5).
3. Ban System
The software remembers all admins and devs.
Metrics are counted even for banned ones.
The BAN button adds the admin or dev address to the blacklist (file).
Two separate folders:
Dev Migration
Community Admin
Banned ones are not displayed in the info board and are not purchased, but their data remains in the database for statistics.
4. New Pair Checker (Community Admin)
Tracks new tokens on Pump.fun and Bonk.
Checks if the admin has had migrations.
If the token = LAST MIGRATION, a notification is displayed on the info board.
Also, the token is automatically opened in Axiom (Chrome).
5. Info Board: Blocks
DEV MIGRATION:
token image (new),
name + ticker,
last 5 tokens (links),
F (trader commission),
% purchase by devs,
% purchase by snipers.
COMMUNITY ADMIN:
token image (new),
name + ticker,
admin nickname,
metrics: ALLAM, AM, TT, last 5 tokens and values 20K maximum market cap of the 5 tokens (links),
F (trader commission),
% purchase by devs,
% purchase by snipers.
LAST COMMUNITY MIGRATION:
token image (new),
name + ticker,
admin nickname,
F from the previous migrated token.
6. Settings (web application → software)
General parameters:
Dev Migration threshold (%).
Community limit (for example, 10–12 people).
Auto-opening for community admin based on market cap value (for example, 20K).
AM threshold (based on the last 5 tokens) at which auto-purchase is activated.
The BAN button works across all categories (Dev Migration, Community Admin, Last Migration).
Loading and playing sound notifications when auto-purchase is triggered
Auto-purchase:
wallet for purchase,
purchase amount,
commission (manual input),
switches:
enable/disable Pump.fun,
enable/disable Bonk,
both enabled → work on both,
both disabled → do not purchase.
Web application:
4 separate applications → connected to one database;
each can have different wallets/settings;
the database of admins and devs is shared;
bans are local (managed manually).
7. Ready Transaction via Jito
For each web application, it is formed in advance.
Logic:
data is collected on admins: TT, ALLAM, AM, last 5 market caps, F;
if the new token meets the specified conditions (for example, AM ≥ 20K), then mint is inserted into the ready transaction and sent without delay.
Goal: to reduce the delay between the appearance of the token and the purchase, to maximize the chance of being in the same block with the dev.
8. Community Size Check
The software checks the number of people in the community.
If the limit (for example, 10–12) is exceeded, then:
do not open,
do not purchase, even with good AM metrics.
9. Operating Modes
AFK Mode (background):
checks new pairs only by Community Admin,
data collection: ALLAM, AM, TT, last 3 tokens,
without auto-purchase and auto-opening,
works continuously.
START Mode (combat):
activated manually,
full functionality (auto-opening, auto-purchase, etc.),
uses the collected database.
Control:
button to start/stop AFK mode,
button to start/stop START mode.
10. Additional Folders (Dashboard)
Folder #1: admin nickname (for example, elonmask) + signature (for example, TOP ADMIN / HOLD).
Folder #2: dev wallet migration (for example, 3bHqLAMq...pump) + signature (for example, TOP DEV / HOLD).
For these folders, auto-purchase works regardless of metrics (every time the specified admin/dev creates a new token).
I already have part of the backend code uploaded to my GitHub, I can also fully explain and show a video example of how a similar project works for a complete understanding of how this should be implemented.
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981 6 3 Good day, I am ready to do this, write in private messages, we will work!
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297 1 Hello. As a senior full-stack developer with experience in integrating the Solana blockchain, I understand that this project focuses on creating an advanced system for tracking token migration, community administration, and automating actions on platforms like Pump.fun and Bonk. I will structure the backend to handle real-time data collection, analytics, and ban logic, while the frontend panel will provide a clean, dynamic interface for managing developer/admin metrics and automation settings. Using Node.js, WebSockets, and a scalable database, I will ensure instant response to token events, optimized performance, and minimal latency for automatic purchases through Jito transactions. The system will also include flexible threshold settings, support for multiple wallets, and AFK/START modes for different operational states. My goal is to create a robust, automated, and fully customizable architecture that reflects your referral logic and operates reliably in real trading conditions.
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357 Good day.
I have reviewed your technical assignment — the logic of Dev Migration, Community Admin, the ban system, and automatic actions (auto-opening, auto-purchase, metric collection) is clear. I have practical experience in developing similar systems on Nest.js, Redis (Pub/Sub), RabbitMQ, PostgreSQL, Next.js, as well as working with Puppeteer/Playwright and Solana RPC / Jito for implementing low-latency transactions.
I can refine the backend, optimize the architecture, and implement the necessary mechanisms. The estimated budget is from $2,000+, depending on the state of the current code and the scope of work. I am ready to have a short call to clarify details and agree on the technical plan.
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